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Journal articles on the topic 'Peak load solution'

Author: Grafiati

Published: 29 June 2021

Last updated: 29 July 2025

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1

Kumar, Sanjeet, Deepak Kumar, Jayant Jain, and Jaswant Kumar Hirwani. "Influence of load, sliding speed, and microstructure on wear response of AZ91 Mg alloy." Proceedings of the Institution of Mechanical Engineers, Part J: Journal of Engineering Tribology 230, no. 12 (2016): 1462–69. http://dx.doi.org/10.1177/1350650116638601.

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This article deals with the tribological study of solution-treated and peak aged AZ91 Mg alloy. Tribological studies were carried out using reciprocating sliding contact under lubricated conditions. The effect of load, sliding speed, and microstructure on wear response of AZ91 Mg alloy was investigated. The wear response was characterized using optical microscopy, scanning electron microscope, and energy dispersive X-ray spectroscopy mapping. The peak aged alloy showed excellent wear resistance against Al6351 Al alloy as compared with solution-treated alloy. The formation of γ-Mg17Al12 precipi

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2

Gorev, V. A. "Model load in case of an internal explosion." Pozharovzryvobezopasnost/Fire and Explosion Safety 30, no. 3 (2021): 5–15. http://dx.doi.org/10.22227/0869-7493.2021.30.03.5-15.

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Introduction. Presently, there are no model loads that describe the burst effect of an internal explosion. The goal of the article is to design a model load that characterizes an internal explosion with regard for the effect of inertial safety structures. The author provides relevant examples.Methods. The experiment and the numerical modeling identify the characteristics of an internal explosion, primarily, its destructive effect. First of all, these characteristics include the pressure value and rate in the process of the first peak formation. A drop follows the first peak. Another rise to th

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Youssef, El-Nasser S., Fabrice Labeau, and Marthe Kassouf. "Detection of Load-Altering Cyberattacks Targeting Peak Shaving Using Residential Electric Water Heaters." Energies 15, no. 20 (2022): 7807. http://dx.doi.org/10.3390/en15207807.

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The rapid adoption of the smart grid’s nascent load-management capabilities, such as demand-side management and smart home systems, and the emergence of new classes of controllable high-wattage loads, such as energy storage systems and electric vehicles, magnify the smart grid’s exposure to load-altering cyberattacks. These attacks aim at disrupting power grid services by staging a synchronized activation/deactivation of numerous customers’ high-wattage appliances. A proper defense plan is needed to respond to such attacks and maintain the stability of the grid, and would include prevention, d

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Bong, Huoy Lih. "Hybrid Adaptive Peak Load Threshold Controller for Battery Energy Storage System: An Industrial Case Study." International Journal of Electrical and Electronic Engineering & Telecommunications 14, no. 4 (2025): 188–98. https://doi.org/10.18178/ijeetc.14.4.188-198.

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Battery Energy Storage Systems (BESS) provide a flexible solution for peak load reductions in industrial power management. Industrial facilities face challenges in managing peak power demands due to unpredictable load variations and the limitations of traditional BESS control strategies. To address this, a Hybrid Adaptive Peak Load Threshold (HAPLT) controller is introduced, integrating day-ahead forecasting with real-time 30-minute updates to refine thresholds dynamically. This approach integrates advanced predictive modelling techniques to optimize peak load reduction, enhance energy savings

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Liu, Chun Yang, Bing Xin Li, Jin San Ju, Xiu Gen Jiang, and Xiao Chuan You. "Numerical Solution of Elas-Plastic Impact Load of Tube Column." Advanced Materials Research 33-37 (March 2008): 363–68. http://dx.doi.org/10.4028/www.scientific.net/amr.33-37.363.

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The explicit numerical method is used to trace the impact procedure of the tube columns impacted by a rigid body. The bar and rectangle tube models are both used to simulate the tube column. The elastic and elas-plastic impact load with different mass ratio and impact speed are obtained. The calculation results show that: for elastic models, the bigger the mass ratio and the higher the rigid body speed, the bigger the peak value of elastic impact load; at the same time, the more obvious the reduction effect of local buckling of rectangle tube on the peak value of impact load and the longer the

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Kreishan, Maen Z., and Ahmed F. Zobaa. "Scenario-Based Uncertainty Modeling for Power Management in Islanded Microgrid Using the Mixed-Integer Distributed Ant Colony Optimization." Energies 16, no. 10 (2023): 4257. http://dx.doi.org/10.3390/en16104257.

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Reliable droop-controlled islanded microgrids are necessary to expand coverage and maximize renewables potential. Nonetheless, due to uncertainties surrounding renewable generation and load forecast, substantial power mismatch is expected at off-peak hours. Existing energy management systems such as storage and demand response are not equipped to handle a large power mismatch. Hence, utilizing dump loads to consume excess power is a promising solution to keep frequency and voltage within permissible limits during low-load hours. Considering the uncertainty in wind generation and demand forecas

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Hartono, BS, Paryanto Mursid Sri, and Prajogo Sapto. "Comparative Study Improving Residential Load Factor Using Power Shifting and Load Shifting." TELKOMNIKA Telecommunication, Computing, Electronics and Control 16, no. 4 (2018): 1396–403. https://doi.org/10.12928/TELKOMNIKA.v16i4.7715.

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One the problem of electric power stability is due to load fluctuations in distribution system especialy during peak load conditions. One solution which is applied in Smart Grid scheme is through load shifting or power shifting. In load shifting the load with high power consumption which operates at peak load shifted its operations outside of the peak load or s some loads with high power consumption do not operate at the same time, there is a load whose operating time is shifted to reduce peak power. Power shifting is used when energy from renewable source not directly suplied to load but stor

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Svensen, Jan Lorenz. "Peak Shaving in District Heating Utilizing Adaptive Predictive Control." Energies 15, no. 22 (2022): 8555. http://dx.doi.org/10.3390/en15228555.

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District heating systems (DHS) are driven by the heat demands of their consumers, with higher demands giving a higher load on the heat production. While heat demands are human-dependent, they contain diurnal behaviors and weather dependencies. The diurnal behaviors contain periods with high demands causing peak loads on the heat production, which is operationally costly. This is especially true for heat pumps, a solution for DHS to include green energy, as the cost depends directly on the needed temperature. This paper presents a formulation of adaptive model predictive control (MPC) for induc

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Popov, I. P. "Peak Load Balancing for Engineering Vehicles." Herald of the Bauman Moscow State Technical University. Series Mechanical Engineering, no. 3 (132) (June 2020): 85–93. http://dx.doi.org/10.18698/0236-3941-2020-3-85-93.

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The paper considers the possibility of equipping engineering vehicles with inertial capacitance energy storage units, which should allow the power plant loads to be evened out, in turn leading to reducing the output power, mass and dimensions of the plant. In a range of engineering vehicles, such as excavators, bulldozers, diesel shunter locomotives and so on, loads are of a substantially irregular character. Peak loads are what determines the output power of power plants. It is evident that the power plant is not fully loaded most of the time. We propose a technological solution for balancing

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Gao, M., W. Li, C. Zhao, Y. Wang, and L. Xu. "Dynamic response of cylindrical deep buried tunnels in transversely isotropic saturated soil under internal dynamic load." Géotechnique Letters 15, no. 3 (2025): 1–7. https://doi.org/10.1680/jgele.24.00151.

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This study considers the saturated soil around the tunnel as a transversely isotropic medium and derives the dynamic response solutions of the tunnel lining and its surrounding medium under explosive loads in the Laplace and Fourier transform domains. When the transverse isotropic coefficient equals 1.0, this solution simplifies to the case where the tunnel is surrounded by a uniform medium. By performing inverse Fourier and Laplace transforms on the solution, we obtain the time domain solution. Compared with the results for a uniform medium surrounding the tunnel, it was found that the peak v

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Manan Desai. "Energy Management through V2G concept with EV Charging/Discharging Strategy." Journal of Electrical Systems 20, no. 11s (2024): 4774–85. https://doi.org/10.52783/jes.8736.

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The integration of Vehicle-to-Grid (V2G) technology has emerged as a promising solution for managing energy demand, enhancing grid stability, and reducing peak loads. This paper explores an advanced V2G-based energy management system that incorporates renewable energy sources (RES), such as solar and wind, to further optimize grid operations. By leveraging bidirectional energy flow between EVs and the grid, combined with real-time forecasting of RES generation, the system addresses renewable intermittency and maximizes energy utilization. A novel algorithm is developed to schedule the charging

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Huang, Zhiyuan, Ruihua Xu, Wei Fan, Feng Zhou, and Wei Liu. "Service-Oriented Load Balancing Approach to Alleviating Peak-Hour Congestion in a Metro Network Based on Multi-Path Accessibility." Sustainability 11, no. 5 (2019): 1293. http://dx.doi.org/10.3390/su11051293.

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To further improve the service quality and reduce safety risks in current congested metro systems during peak hours, this paper presents a load balancing (LB) approach so that available capacity can be utilized more effectively in order to alleviate peak hour congestion. A set of under-utilized yet effective alternative routes were searched using a deletion algorithm (DA) in order to share the passenger loads on overcrowded metro line segments. An optimization model was constructed based on an improved route generalized time utility function considering the penalties of both in-vehicle congest

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Salve, Rohan. "Smart Load Management Using Arduino." International Journal for Research in Applied Science and Engineering Technology 13, no. 4 (2025): 2735–41. https://doi.org/10.22214/ijraset.2025.68717.

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Abstract: This paper presents a smart automatic switching system that controlsasolar-poweredbulb based on peak solar duration while continuously monitoring real-time energy consumption. The system consists of three bulbs,outofwhichtwoare permanently powered by mains electricity, and one bulb is activated solely by solar power during peak sunlight hours. The system utilizes an Arduino microcontroller, relay modules for switching, and sensors to measure voltage, current, and power consumption, with real-time data displayed on an LCD. This approach optimizes solar power utilization, reduces energ

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Chen, Zhi Wei, and Jian Gang Wu. "Study on Generalized Fatigue Damage under Random Loading." Key Engineering Materials 324-325 (November 2006): 1161–64. http://dx.doi.org/10.4028/www.scientific.net/kem.324-325.1161.

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Generalized fatigue damage is derived based on S-N curve under constant amplitude loads with S characterizes the load cycle by the combination of load peak and load amplitude. For random fatigue loads, a natural choice is to use half cycle (Range) counting method. Rain Flow counting is popular due to its useful nature to pick-out full cycles among random loads. It is found in the present research through analysis and verified by experimental results that Rain Flow counting seriously overestimate the damage for the actual true random loads owing to its inherent nature and the Range counting met

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Baranovsky, Vladimir, and Maxim Lipatov. "Marine steam-gas semi-closed cycle power plant for peak loads." Energy Safety and Energy Economy 2 (April 2021): 21–25. http://dx.doi.org/10.18635/2071-2219-2021-2-21-25.

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A wide range of efficient gas turbine engines has been developed at UEC NPO Saturn, Russia. Those engines can be successfully used for developing a marine steam-gas semi-closed cycle power plant to compensate peak loads on ships and vessels. This compact steam-gas power plant will demonstrate high efficiency which doesn’t change significantly depending on the load when compared to conventional steam-gas power plants. Also, this solution can possibly change the diesel engine prevalence among marine power plants.

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Kim, Hyung-Joon, and Mun-Kyeom Kim. "Multi-Objective Based Optimal Energy Management of Grid-Connected Microgrid Considering Advanced Demand Response." Energies 12, no. 21 (2019): 4142. http://dx.doi.org/10.3390/en12214142.

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This paper proposes an optimal energy management approach for a grid-connected microgrid (MG) by considering the demand response (DR). The multi-objective optimization framework involves minimizing the operating cost and maximizing the utility benefit. The proposed approach combines confidence-based velocity-controlled particle swarm optimization (CVCPSO) (i.e., PSO with an added confidence term and modified inertia weight and acceleration parameters), with a fuzzy-clustering technique to find the best compromise operating solution for the MG operator. Furthermore, a confidence-based incentive

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17

Conteh, Abdul, Mohammed Elsayed Lotfy, Oludamilare Bode Adewuyi, Paras Mandal, Hiroshi Takahashi, and Tomonobu Senjyu. "Demand Response Economic Assessment with the Integration of Renewable Energy for Developing Electricity Markets." Sustainability 12, no. 7 (2020): 2653. http://dx.doi.org/10.3390/su12072653.

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Electricity disparity in sub-Saharan Africa is a multi-dimensional challenge that has significant implications on the current socio-economic predicament of the region. Strategic implementation of demand response (DR) programs and renewable energy (RE) integration can provide efficient solutions with several benefits such as peak load reduction, grid congestion mitigation, load profile modification, and greenhouse gas emissions reduction. In this research, an incentive and price-based DR programs model using the price elasticity concepts is proposed. Economic analysis of the customer benefit, u

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18

Kumar, D. Sai. "Demand Side Management Techniques for Peak Reduction." International Journal for Research in Applied Science and Engineering Technology 9, no. VII (2021): 2911–13. http://dx.doi.org/10.22214/ijraset.2021.36979.

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Industrial growth is the back bone for the development of any nation. Industries are mainly dependent on electrical energy. But from the various studies, the sources for electrical energy are decreasing gradually, and in turn, the gap is increasing between the supplier and the load. The solution for this scenario is optimal utilization of resources. To overcome this problem , the concept Demand Side Management (DSM) has emerged in Power System Planning and Management. The principle objective of DSM is mutual understanding between the supplier and the consumer for maximizing benefits and minimi

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19

Bakhshi-Jafarabadi, Reza, and Seyed Mahdi Seyed Mousavi. "Peak Load Shaving of Air Conditioning Loads via Rooftop Grid-Connected Photovoltaic Systems: A Case Study." Sustainability 16, no. 13 (2024): 5640. http://dx.doi.org/10.3390/su16135640.

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Over the past few decades, grid-connected photovoltaic systems (GCPVSs) have been consistently installed due to their techno-socio-economic-environmental advantages. As an effective solution, this technology can shave air conditioning-based peak loads on summer days at noon in hot areas. This paper assesses the effect of solely rooftop GCPVS installations on the peak load shaving of commercial buildings in arid regions, e.g., the Middle East and North Africa. To this end, the load profile of a large building with 470 kW of unshaved peak power in Mashhad, Iran (36.2972° N, 59.6067° E) is analyz

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20

Nourollahi, Ramin, Pouya Salyani, Kazem Zare, Behnam Mohammadi-Ivatloo, and Zulkurnain Abdul-Malek. "Peak-Load Management of Distribution Network Using Conservation Voltage Reduction and Dynamic Thermal Rating." Sustainability 14, no. 18 (2022): 11569. http://dx.doi.org/10.3390/su141811569.

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The peak-load management of a distribution network (DN) has gained attention by increasing the electric power consumption on the demand side. By developing smart-grid infrastructures, effective utilization of the DN’s components and proper management of the DN would create a valuable solution for DN operators. Hence, in this paper, a peak-load management framework is proposed in which the real-time rating of the components and voltage-dependent features of the electric loads help the DN operator handle the peak times successfully. In addition to the individual advantages of efficient operation

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21

Al-Nama, M. A., M. S. Al-Hafid, and A. S. Al-Fahadi. "Estimation of the Consumer Peak Load for the Iraqi Distr ibution System Using intelligent Methods." Iraqi Journal for Electrical and Electronic Engineering 7, no. 2 (2011): 180–84. http://dx.doi.org/10.37917/ijeee.7.2.15.

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The drastic increase of residential load consumption in recent years result in over loading feeder lines and transformers for the Iraqi northern area distribution system especially in the city of Mosul. Solution for this problem require up to date research consumers load study to find the proper solution to stop excess overload in the transformers and the feeders. This paper include the regional survey for samples of consumers representing typical types of different standard of living and energy consumption by distributing questioners contain list of information such as load type in daily use.

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22

Al-Nidawi, Yaarob, Haider Tarish Haider, Dhiaa Halboot Muhsen, and Ghadeer Ghazi Shayea. "Multi-User Optimal Load Scheduling of Different Objectives Combined with Multi-Criteria Decision Making for Smart Grid." Future Internet 16, no. 10 (2024): 355. http://dx.doi.org/10.3390/fi16100355.

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Load balancing between required power demand and the available generation capacity is the main task of demand response for a smart grid. Matching between the objectives of users and utilities is the main gap that should be addressed in the demand response context. In this paper, a multi-user optimal load scheduling is proposed to benefit both utility companies and users. Different objectives are considered to form a multi-objective artificial hummingbird algorithm (MAHA). The cost of energy consumption, peak of load, and user inconvenience are the main objectives considered in this work. A hyb

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Bagio, Toni Hartono, Sofia W. Alisjahbana, Helmy Darjanto, and Najid Najid. "Orthotropic plates with dynamic vertical seismic load modeled as multi line." Engineering Solid Mechanics 11, no. 2 (2023): 135–50. http://dx.doi.org/10.5267/j.esm.2023.1.002.

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Calculation plate floor concrete, using a static load which is a gravity load consisting of a live load and a dead load, with various of boundary conditions, floor slabs are orthotropic plate, and rarely account for dynamic loads due to vertical seismic loads, with other boundary conditions, such as Clamped, simply supported, ES (Elastic Support), ER (Elastic Restraint), and ESR (Elastic Support and Restraint). Analytical solution based on the Modified Bolotin Method to analyze floor slab under Vertical Peak Ground Acceleration (PGAv), the natural frequency solution based on auxiliary Levy’s t

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Kasprzyk, Jerzy, and Michał Szulc. "Reducing Peak Power in a Multiple Load System by Delaying the Activation of Electrical Loads Using a Filter Based on a PI Controller." Applied Sciences 14, no. 21 (2024): 9674. http://dx.doi.org/10.3390/app14219674.

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In a power grid with multiple two-state loads, the total power can vary over a significant range. This results in the inability to supply this system from a low-power source. The solution is an algorithm that shapes energy demand depending on its availability. For this purpose, a new load distribution method is proposed based on introducing a buffer between the temperature controller output and the heater and filtering the load using a master Proportional–Integral (PI) controller. The aim of the work was to evaluate the quality of the developed algorithm for limiting power peaks in the power g

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Zhang, Haonan, Youwen Tian, Wei He, Zhining Liang, Zihao Zhang, and Nannan Zhang. "The Generation Load Aggregator Participates in the Electricity Purchase and Sale Strategy of the Electric Energy–Peak Shaving Market." Energies 18, no. 2 (2025): 370. https://doi.org/10.3390/en18020370.

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To facilitate the participation of small- and medium-sized customer-side resources into the electricity market, with the aim of optimizing the allocation of electricity resources, this paper proposes the participation of small- and medium-sized adjustable resources in the electricity market in the form of generation load aggregators. Considering the coupling role of the electric energy market and the peaking auxiliary service market, a joint model of generation load aggregators that participate in the electric energy–peak shaving market is constructed. Comparing the model solution with those o

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Rocha, Anderson V., Thales A. C. Maia, and Braz J. C. Filho. "Improving the Battery Energy Storage System Performance in Peak Load Shaving Applications." Energies 16, no. 1 (2022): 382. http://dx.doi.org/10.3390/en16010382.

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Peak load shaving using energy storage systems has been the preferred approach to smooth the electricity load curve of consumers from different sectors around the world. These systems store energy during off-peak hours, releasing it for usage during high consumption periods. Most of the current solutions use solar energy as a power source and chemical batteries as energy storage elements. Despite the clear benefits of this strategy, the service life of the battery energy storage system (BESS) is a driving factor for economic feasibility. The present research work proposes the use of storage sy

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Sadiq, Sadiq E., Muhsin J. Jweeg, and Sadeq H. Bakhy. "Strength Analysis of an Aircraft Sandwich Structure with a Honeycomb Core: Theoretical and Experimental Approaches." Engineering and Technology Journal 39, no. 1A (2021): 153–66. http://dx.doi.org/10.30684/etj.v39i1a.1722.

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In this paper, the strength of aircraft sandwich structure with honeycomb core under bending load was evaluated theoretically and experimentally based on failure mode maps. A failure mode map for the loading under three-point bending was constructed theoretically to specify the failure modes and corresponding load. Three point bending test for aluminum honeycomb sandwich beam has been achieved to measure the peak load and maximum deflection. The obtained results elucidated a good agreement between the theoretical solutions and experimental tests, where the error ratio was not exceeded 12%. The

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Taiwo, Ogunboyo Patrick, and Melodi O. Adegoke. "Electrical Distribution Industry - Long Term Load Forecast on Ilesha Road 11kV Feeder, Akure, Ondo State, Nigeria." International Journal of Engineering Research in Africa 37 (August 2018): 52–61. http://dx.doi.org/10.4028/www.scientific.net/jera.37.52.

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This paper presents an investigative study on a selected 11 kV distribution feeder network in Akure township, Nigeria, aimed at evaluating power distribution problems and solution proposals for effective application of existing 11 kV feeders for power supply within Nigeria. Based on peak loads recorded on the feeder for 8 years a long term load forecast up to 2021 was carried out using “Trend’ and “Growth’ functions in Excel worksheet. These functions use Method of Least Squares. The peak network load is 8 MW and the expected load in 2021 is 14.5 MW (18.5 MVA at 0.8 power factor) after an expo

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Almutairi, Abdulaziz, Naif Albagami, Sultanh Almesned, Omar Alrumayh, and Hasmat Malik. "Electric Vehicle Load Estimation at Home and Workplace in Saudi Arabia for Grid Planners and Policy Makers." Sustainability 15, no. 22 (2023): 15878. http://dx.doi.org/10.3390/su152215878.

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Electric vehicles (Evs) offer promising benefits in reducing emissions and enhancing energy security; however, accurately estimating their load presents a challenge in optimizing grid management and sustainable integration. Moreover, EV load estimation is context-specific, and generalized methods are inadequate. To address this, our study introduces a tailored three-step solution, focusing on the Middle East, specifically Saudi Arabia. Firstly, real survey data are employed to estimate driving patterns and commuting behaviors such as daily mileage, arrival/departure time at home and workplace,

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Siahchehre Kholerdi, Somayeh, and Ali Ghasemi-Marzbali. "Critical Demand Response Opportunities in Heavy Industries as a Solution for Large Active Power Imbalance in Smart Grid: Study in Three Industrial Subgroups." International Transactions on Electrical Energy Systems 2022 (September 9, 2022): 1–14. http://dx.doi.org/10.1155/2022/2310923.

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Demand response (DR) is one of the most cost-effective and logical smart grid terms for power systems that can be used during peak load hours, whereas load shedding (LS) is the last and most expensive solution in emergency grid situations. The aim of them is to satisfy equilibrium constraints between consumption and generation and restore the power system frequency to normal bounds at the least possible time. The rapid increase in power grid costs and limitations on electricity generation resources have resulted in the increasing need for industrial customers’ participation as an alternative s

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Muhsen, Dhiaa Halboot, Haider Tarish Haider, Yaarob Al-Nidawi, and Tamer Khatib. "Optimal Home Energy Demand Management Based Multi-Criteria Decision Making Methods." Electronics 8, no. 5 (2019): 524. http://dx.doi.org/10.3390/electronics8050524.

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From the growth of residential energy demands has emerged new approaches for load scheduling to realize better energy consumption by shifting the required demand in response to cost changes or incentive offers. In this paper, a hybrid method is proposed to optimize the load scheduling problem for cost and energy saving. The method comprises a multi-objective optimization differential evolution (MODE) algorithm to obtain a set of optimal solutions by minimizing the cost and peak of a load simultaneously, as a multi-objective function. Next, an integration of the analytic hierarchy process (AHP)

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El-Saadawy, Magdi, Mohamed Adel El-Sayes, and M. El-Maghraby. "New Solution Algorithm for Peak Shaving and Load Leveling Using Photovoltaic/Battery Aggregation.(Dept.E)." MEJ. Mansoura Engineering Journal 13, no. 1 (2021): 1–26. http://dx.doi.org/10.21608/bfemu.2021.172527.

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Xu, Zhanxing, Chang Liu, Qiang Liu, Lingjun Xu, Li Mo, and Yongchuan Zhang. "Optimal Peak-Shaving Dispatching of Hydropower Station in Response to Long-Term Load Demand of Power Grid." Processes 13, no. 2 (2025): 489. https://doi.org/10.3390/pr13020489.

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Hydropower stations play a crucial role in meeting the demand for peak shaving in the power grid. A method called the adaptive segmented cutting load algorithm (ASCLA) is proposed to address the problem of the uneven distribution of regulation effects when formulating long-term peak-shaving dispatching plans for hydropower stations. This method mainly consists of three components: full-period load segmentation, sub-period end water level treatment, and staged cutting load optimization. It can improve the average regulation ability of hydropower stations for the power grid’s long-term load by c

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Radchenko, Kostiantyn, and Ihor Tereykovskyi. "Integrated Neural Network and Wavelet-Based Model for Web Server Load Forecasting." Security of Infocommunication Systems and Internet of Things 2, no. 2 (2024): 02006. https://doi.org/10.31861/sisiot2024.2.02006.

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This paper presents an integrated model for predicting the load on a web server by combining historical server logs, traffic data, and environmental factors to forecast load variations accurately. Key components include time series analysis for trend and seasonality detection, discrete wavelet transforms for noise reduction and feature extraction and neural networks for predictive modeling. Experimental results demonstrate that the integrated model achieves 15–25% higher forecasting accuracy compared to traditional methods, such as ARIMA. The proposed solution is scalable, adaptable, and provi

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Acquah, Moses Amoasi, and Sekyung Han. "Online Building Load Management Control with Plugged-in Electric Vehicles Considering Uncertainties." Energies 12, no. 8 (2019): 1436. http://dx.doi.org/10.3390/en12081436.

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Robust operation of load management control for a building is important to account for the uncertainty in demand as well as any distributed sources connected to the building. This paper discussed an online load management control solution using distributed energy storage (DES) while considering uncertainties in demand as well as DES to reduce peak demand for economic benefit. In recent years’ demand-side management (DSM) solutions using DES such as stationary energy management system (BESS) and plugged-in electric vehicles (PEV) have been popularised. Most of these solutions resort to determin

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Chen, Ke, and Xue Feng Tong. "Numerical Solution of Dynamic Responses of Moving Load on Ice Sheet." Applied Mechanics and Materials 138-139 (November 2011): 44–49. http://dx.doi.org/10.4028/www.scientific.net/amm.138-139.44.

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To study on the breaking mechanism of an ice sheet under moving load, have need for researching the displacement responses of ice sheet. From viscoelastic vibration differential equation of ice sheet, dynamic equation of ice sheet was established under moving load in the cylindrical coordinate system, and the boundary conditions were given for solving differential equations. Used Hankel transform and Laplace transform to solve Green function of ice sheet vibration responses under loading, and derived the displacement response of ice sheet on the base of Green function. The example calculation

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Xu, Yaxuan, Jianuo Liu, Zhongqi Cui, et al. "Economic Scheduling Model of an Active Distribution Network Based on Chaotic Particle Swarm Optimization." Information 15, no. 4 (2024): 225. http://dx.doi.org/10.3390/info15040225.

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With the continuous increase in global energy demand and growing environmental awareness, the utilization of renewable energy has become a worldwide consensus. In order to address the challenges posed by the intermittent and unpredictable nature of renewable energy in distributed power distribution networks, as well as to improve the economic and operational stability of distribution systems, this paper proposes the establishment of an active distribution network capable of accommodating renewable energy. The objective is to enhance the efficiency of new energy utilization. This study investig

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Behrens, D., T. Schoormann, and R. Knackstedt. "Developing an Algorithm to Consider Mutliple Demand Response Objectives." Engineering, Technology & Applied Science Research 8, no. 1 (2018): 2621–26. http://dx.doi.org/10.48084/etasr.1819.

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Due to technological improvement and changing environment, energy grids face various challenges, which, for example, deal with integrating new appliances such as electric vehicles and photovoltaic. Managing such grids has become increasingly important for research and practice, since, for example, grid reliability and cost benefits are endangered. Demand response (DR) is one possibility to contribute to this crucial task by shifting and managing energy loads in particular. Realizing DR thereby can address multiple objectives (such as cost savings, peak load reduction and flattening the load pr

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Behrens, Dennis, Thorsten Schoormann, and Ralf Knackstedt. "Developing an Algorithm to Consider Mutliple Demand Response Objectives." Engineering, Technology & Applied Science Research 8, no. 1 (2018): 2621–26. https://doi.org/10.5281/zenodo.1207455.

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Due to technological improvement and changing environment, energy grids face various challenges, which, for example, deal with integrating new appliances such as electric vehicles and photovoltaic. Managing such grids has become increasingly important for research and practice, since, for example, grid reliability and cost benefits are endangered. Demand response (DR) is one possibility to contribute to this crucial task by shifting and managing energy loads in particular. Realizing DR thereby can address multiple objectives (such as cost savings, peak load reduction and flattening the load pr

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Korovkin, Sergei Yu. "THE ROLE OF WORKING MEMORY AT DIFFERENT STAGES OF INSIGHT PROBLEM SOLVING: A CRITICAL REVIEW." Психология. Журнал Высшей школы экономики 20, no. 3 (2023): 407–17. http://dx.doi.org/10.17323/1813-8918-2023-3-407-417.

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This paper offers a critical review of studies published over the past few years that explore the role of working memory at different stages of insight problem solving. The overall contribution of working memory (WM) to insight problem solving remains a matter of controversy, since there is supporting evidence for both the positive and the negative roles of executive control and WM in insight problem solving. A promising way to approach this contradiction is to trace WM loading dynamics in the course of a solution. Data analysis revealed that insight problem solving is generally WM-demanding,

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Martins, Rodrigo, Holger Hesse, Johanna Jungbauer, Thomas Vorbuchner, and Petr Musilek. "Optimal Component Sizing for Peak Shaving in Battery Energy Storage System for Industrial Applications." Energies 11, no. 8 (2018): 2048. http://dx.doi.org/10.3390/en11082048.

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Recent attention to industrial peak shaving applications sparked an increased interest in battery energy storage. Batteries provide a fast and high power capability, making them an ideal solution for this task. This work proposes a general framework for sizing of battery energy storage system (BESS) in peak shaving applications. A cost-optimal sizing of the battery and power electronics is derived using linear programming based on local demand and billing scheme. A case study conducted with real-world industrial profiles shows the applicability of the approach as well as the return on investme

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Košt’ál, Kristián, Volodymyr Khilenko, and Michal Hunák. "Hierarchical Blockchain Energy Trading Platform and Microgrid Management Optimization." Energies 17, no. 6 (2024): 1333. http://dx.doi.org/10.3390/en17061333.

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In this paper, we describe a solution that has been developed to create an intelligent software platform for the optimal management of energy trade (specifically a P2P trade) in microgrids. Furthermore, the choice of a solution based on the architecture of two-level hierarchical systems using the restrictions and recommendations of the control center is substantiated. A general functional design of the platform is proposed using blockchain technology and cyber security solutions. The proposed solution includes the technical specification of the presented platform using the game theory model as

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Shahhath, Ahmed A., Haroun A. K. Shahad, and Alaa A. Mahdi. "Parametric Theoretical Study of Solar Assisted Cooling System Using Lithium Bromide-Water Pair." IOP Conference Series: Earth and Environmental Science 877, no. 1 (2021): 012020. http://dx.doi.org/10.1088/1755-1315/877/1/012020.

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Abstract In this paper, the effect of parameters of solar absorption system such as evaporator, absorber, condenser, generator temperatures and the mass of the solution on the evaporator cooling load and the coefficient of performance has been explained theoretically. The results show that, increasing of evaporator and condenser temperatures increase the evaporator cooling load, performance coefficient and the Ratio of Circulation while increasing the temperature of condenser and absorber decreases the evaporator cooling load, performance coefficient and the Circulation Ratio. In addition, inc

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Ling, Zhibin, Zheng Li, Zhoujun Li, Chao Yang, Wei Zheng, and Lingfeng Zhang. "Experimental investigation of axial pull-out behavior of glued-in threaded rods in cross-laminated timber." BioResources 20, no. 3 (2025): 5407–28. https://doi.org/10.15376/biores.20.3.5407-5428.

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Cross-laminated timber (CLT), known for its high performance, prefabrication, low carbon emission, and eco-friendliness, has gained widespread adoption in the construction industry. Glued-in rod (GiR) connections, which offer a concealed appearance, high strength, withdrawal stiffness, ease of construction, and fire resistance, have become a promising solution for CLT structures. This study experimentally investigated the axial pull-out behavior of GiR connections in CLT. Forty-five CLT specimens with single GiR were designed and tested under pull-out conditions. The experimental variables inc

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Wynn, Sane Lei Lei, Watcharakorn Pinthurat, and Boonruang Marungsri. "Multi-Objective Optimization for Peak Shaving with Demand Response under Renewable Generation Uncertainty." Energies 15, no. 23 (2022): 8989. http://dx.doi.org/10.3390/en15238989.

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With high penetration of renewable energy sources (RESs), advanced microgrid distribution networks are considered to be promising for covering uncertainties from the generation side with demand response (DR). This paper analyzes the effectiveness of multi-objective optimization in the optimal resource scheduling with consumer fairness under renewable generation uncertainty. The concept of consumer fairness is considered to provide optimal conditions for power gaps and time gaps. At the same time, it is used to mitigate system peak conditions and prevent creating new peaks with the optimal solu

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Wang, Yaoying, Shudong Sun, and Zhiqiang Cai. "Daily Peak-Valley Electric-Load Forecasting Based on an SSA-LSTM-RF Algorithm." Energies 16, no. 24 (2023): 7964. http://dx.doi.org/10.3390/en16247964.

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In recent years, with the development of societies and economies, the demand for social electricity has further increased. The efficiency and accuracy of electric-load forecasting is an important guarantee for the safety and reliability of power system operation. With the sparrow search algorithm (SSA), long short-term memory (LSTM), and random forest (RF), this research proposes an SSA-LSTM-RF daily peak-valley forecasting model. First, this research uses the Pearson correlation coefficient and the random forest model to select features. Second, the forecasting model takes the target value, c

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Naik, Ketaki Bhalchandra, G. Meera Gandhi, and S. H. Patil. "Pareto Based Virtual Machine Selection with Load Balancing in Cloud Data Centre." Cybernetics and Information Technologies 18, no. 3 (2018): 23–36. http://dx.doi.org/10.2478/cait-2018-0036.

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Abstract Cloud Data centers have adopted virtualization techniques for effective and efficient compilation of an application. The requirements of application from the execution perspective are fulfilled by scaling up and down the Virtual Machines (VMs). The appropriate selection of VMs to handle the unpredictable peak workload without load imbalance is a critical challenge for a cloud data center. In this article, we propose Pareto based Greedy-Non dominated Sorting Genetic Algorithm-II (G-NSGA2) for agile selection of a virtual machine. Our strategy generates Pareto optimal solutions for fair

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Mourelatos, Z. P. "Gas Lubrication of a Ringless Piston in an Internal Combustion Engine Under Dynamic Loading." Journal of Tribology 110, no. 4 (1988): 718–26. http://dx.doi.org/10.1115/1.3261719.

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A theoretical model is presented to solve the transient, two-dimensional, compressible Reynolds equation for a gas bearing. The Newton-Raphson method is used on the governing nonlinear Reynolds equaion while the Galerkin’s method is employed to solve the resulting linear equations for the correction term. The numerical solution of the pressure distribution of an infinitely long, plane-wedge, slider bearing compares very well with the analytical (exact) solution. This theoretical model is then used to calculate the trajectory of a ringless piston within the cylinder of an I. C. engine under a g

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Gu, Jinhui, and Chunlin Guo. "Research on ordered charge and discharge of Electric Vehicles and their effects." Journal of Physics: Conference Series 2260, no. 1 (2022): 012018. http://dx.doi.org/10.1088/1742-6596/2260/1/012018.

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Abstract Based on the control strategy of ordered charge and discharge of electric vehicles, the control strategy of ordered charge and discharge is proposed. The control strategy of the minimum variance minimum differential peak and valley load as the goal, and will be the charge and discharge time of electric vehicles and the charge and discharge requirements as constraint conditions, the optimal solution given by the method of charging control flow diagram and orderly, according to the actual place residential distribution network structure, based on MATLAB/simulink to establish the simulat

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Benysek, G., M. Jarnut, SZ Werminski, and J. Bojarski. "Distributed active demand response system for peak power reduction through load shifting." Bulletin of the Polish Academy of Sciences Technical Sciences 64, no. 4 (2016): 925–36. http://dx.doi.org/10.1515/bpasts-2016-0101.

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Abstract The large variability in power consumption in electrical power systems (EPS) influences not only growth balance losses and technical losses, but also in some cases reduces energy security. Delayed restoration of power generation, combined with unpredictable weather events leading to the loss of generating power can lead to a situation in which to save the stability of the power system there must be introduced in the system a load power limit or even disconnection of end-user in a given area, which will significantly reduce the comfort of use of energy. This situation can be prevented

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