Relevant bibliographies by topics / Load prediction and scheduling

Academic literature on the topic 'Load prediction and scheduling'

Author: Grafiati
Published: 10 December 2022
Last updated: 28 January 2023

Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles

Select a source type:

Contents

Consult the lists of relevant articles, books, theses, conference reports, and other scholarly sources on the topic 'Load prediction and scheduling.'

Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.

You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.

Journal articles on the topic "Load prediction and scheduling"

1

Cheng, Qiangqiang, Yiqi Yan, Shichao Liu, Chunsheng Yang, Hicham Chaoui, and Mohamad Alzayed. "Particle Filter-Based Electricity Load Prediction for Grid-Connected Microgrid Day-Ahead Scheduling." Energies 13, no. 24 (December 8, 2020): 6489. http://dx.doi.org/10.3390/en13246489.

Full text
Abstract:
This paper proposes a particle filter (PF)-based electricity load prediction method to improve the accuracy of the microgrid day-ahead scheduling. While most of the existing prediction methods assume electricity loads follow normal distributions, we consider it is a nonlinear and non-Gaussian process which is closer to the reality. To handle the nonlinear and non-Gaussian characteristics of electricity load profile, the PF-based method is implemented to improve the prediction accuracy. These load predictions are used to provide the microgrid day-ahead scheduling. The impact of load prediction error on the scheduling decision is analyzed based on actual data. Comparison results on a distribution system show that the estimation precision of electricity load based on the PF method is the highest among several conventional intelligent methods such as the Elman neural network (ENN) and support vector machine (SVM). Furthermore, the impact of the different parameter settings are analyzed for the proposed PF based load prediction. The management efficiency of microgrid is significantly improved by using the PF method.
APA, Harvard, Vancouver, ISO, and other styles
2

Li, Fenglei, Chunxia Dou, and Shiyun Xu. "Optimal Scheduling Strategy of Distribution Network Based on Electric Vehicle Forecasting." Electronics 8, no. 7 (July 22, 2019): 816. http://dx.doi.org/10.3390/electronics8070816.

Full text
Abstract:
Based on the Monte Carlo method, this paper simulates, predicts the load, and considers the travel chain of electric vehicles and different charging methods to establish a predictive model. Based on the results of electric vehicle simulation prediction, an optimal scheduling model of the distribution network considering the demand response side load is established. The firefly optimization algorithm is used to solve the optimal scheduling problem. The results show that the prediction model proposed in this paper has a certain reference value for the prediction of an electric vehicle load. The electric vehicle is placed in the optimal scheduling resource of the distribution network, which increases the dimension of the scheduling resources of the network and improves the economics of the distribution network operation.
APA, Harvard, Vancouver, ISO, and other styles
3

Wang, Kui, Bu Han Zhang, Jia Jun Zhai, Wen Shao, Xiao Shan Wu, and Cheng Xiong Mao. "Coordination between Short-Term and Real-Time Scheduling Incorporating Wind Power." Advanced Materials Research 512-515 (May 2012): 700–703. http://dx.doi.org/10.4028/www.scientific.net/amr.512-515.700.

Full text
Abstract:
Coordination strategies between short-term (e.g., weekly and daily scheduling ) and real-time scheduling in wind power integrated system are disscussed. To cope with the uncertainty of wind power and load demands, weekly and daily rolling schedulings are applied. According to the latest updated prediction results of wind power and load demands, weekly rolling scheduling is applied to revise unit commitment and fuel allocation in remaining hours in a week. Daily rolling scheduling is applied to revise generation scheduling in remaining time in a day. A modified IEEE 118-bus system is applied to test the proposed approach.
APA, Harvard, Vancouver, ISO, and other styles
4

Li, Jingyun, and Hong Zhao. "Construction of an Optimal Scheduling Method for Campus Energy Systems Based on Deep Learning Models." Mathematical Problems in Engineering 2022 (March 31, 2022): 1–10. http://dx.doi.org/10.1155/2022/5350786.

Full text
Abstract:
Aiming at the problem of high cost and low efficiency of planning and scheduling caused by load uncertainty of campus energy system, a 3-layer planning and scheduling model based on multivariate load prediction is proposed, mainly including prediction layer, planning layer, and scheduling layer; a long-term and short-term prediction model of multivariate load is constructed based on random forest regression network and long and short-term memory network. With the objective of minimizing the comprehensive planning and scheduling cost and the scheduling operation cost, the optimal comprehensive system cost and configuration scheme are obtained by using improved particle swarm algorithm and CPLEX solver; the equipment status and system cost are analyzed by planning and scheduling under different scenarios. By comparing the planning and scheduling results of the constructed 3-layer model with the conventional two-layer model, the economy and reliability of the 3-layer planning and scheduling model are demonstrated.
APA, Harvard, Vancouver, ISO, and other styles
5

Wang, Haiji, and Xueying Lu. "Research on short-term forecasting of power load based on big data BP neural network." Journal of Physics: Conference Series 2401, no. 1 (December 1, 2022): 012077. http://dx.doi.org/10.1088/1742-6596/2401/1/012077.

Full text
Abstract:
Abstract The power network system is an indispensable part of the economy development, which directly affects the stable operation of various industries and people’s daily life. During the stable operation of the power system, the prediction of the power load plays an important role in the load scheduling of the power system. Aiming at the problem of short-term load forecasting of power system, this paper established a short-term forecasting model of power load based on the BP neural network forecasting model through the collection of big data and modified the network weights and thresholds through model training. Finally, a short-term prediction of the power load of a certain community was carried out. The results show that the prediction model based on BP neural network can accurately predict the short-term power load with small prediction errors and good prediction performance. It can meet the precision requirements of power system operation scheduling.
APA, Harvard, Vancouver, ISO, and other styles
6

Geary, Elizabeth M., Martin Goldberg, A. G. Greenburg, and Thomas E. Johnson. "Predicting operating room case load: An aid to resource allocation." Journal of Hospital Administration 2, no. 4 (August 26, 2013): 151. http://dx.doi.org/10.5430/jha.v2n4p151.

Full text
Abstract:
Hospital patient bed utilization can reach 100% with an impact on elective surgery schedules. Analysis of the demand for beds created by elective surgical operations is desirable to manage overall resources under these conditions. For planning and allocating operating rooms, staff, beds and equipment on any given day, hospital administrators would benefit from an accurate prediction of the number of surgical cases that will be completed. Current scheduling techniques do not predict, for a given day in the future, the number of cases that will actually be performed. A study was performed at a 247 bed hospital with 10 operating rooms. The operating rooms were available for reservation more than two weeks in advance. Both block scheduling and open time were available. Using reservation data with a simple Black Box model allows the prediction of the total number of cases to be performed up to two weeks in advance with 90% accuracy. The resultant predictive demand should allow for better resource planning for the Operating Suite as well as required post-op hospital patient beds.
APA, Harvard, Vancouver, ISO, and other styles
7

Li, Zhengjie, and Zhisheng Zhang. "Day-Ahead and Intra-Day Optimal Scheduling of Integrated Energy System Considering Uncertainty of Source & Load Power Forecasting." Energies 14, no. 9 (April 28, 2021): 2539. http://dx.doi.org/10.3390/en14092539.

Full text
Abstract:
At present, due to the errors of wind power, solar power and various types of load forecasting, the optimal scheduling results of the integrated energy system (IES) will be inaccurate, which will affect the economic and reliable operation of the integrated energy system. In order to solve this problem, a day-ahead and intra-day optimal scheduling model of integrated energy system considering forecasting uncertainty is proposed in this paper, which takes the minimum operation cost of the system as the target, and different processing strategies are adopted for the model. In the day-ahead time scale, according to day-ahead load forecasting, an integrated demand response (IDR) strategy is formulated to adjust the load curve, and an optimal scheduling scheme is obtained. In the intra-day time scale, the predicted value of wind power, solar power and load power are represented by fuzzy parameters to participate in the optimal scheduling of the system, and the output of units is adjusted based on the day-ahead scheduling scheme according to the day-ahead forecasting results. The simulation of specific examples shows that the integrated demand response can effectively adjust the load demand and improve the economy and reliability of the system operation. At the same time, the operation cost of the system is related to the reliability of the accurate prediction of wind power, solar power and load power. Through this model, the optimal scheduling scheme can be determined under an acceptable prediction accuracy and confidence level.
APA, Harvard, Vancouver, ISO, and other styles
8

Lu, You Wei, Zhen Zhen Xu, and Feng Xia. "Prediction-Based Independent Task Scheduling for Heterogeneous Distributed Computing Systems." Advanced Materials Research 457-458 (January 2012): 1039–46. http://dx.doi.org/10.4028/www.scientific.net/amr.457-458.1039.

Full text
Abstract:
Independent task scheduling algorithms in distributed computing systems deal with three main conflicting factors including load balance, task execution time and scheduling cost. In this paper, the problem of scheduling tasks arriving at a low rate and with long execution time in heterogeneous computing systems is studied, and a new scheduling algorithm based on prediction is proposed. This algorithm evaluates the utility of task scheduling based on statistics and prediction to solve the influence of heterogeneous computing systems. The experimental results reveal that the proposed algorithm adequately balances the conflicting factors, and thus performs better than some classical algorithms such as MCT and MET when the parameters are well selected.
APA, Harvard, Vancouver, ISO, and other styles
9

Jin, Xue-Bo, Wei-Zhen Zheng, Jian-Lei Kong, Xiao-Yi Wang, Yu-Ting Bai, Ting-Li Su, and Seng Lin. "Deep-Learning Forecasting Method for Electric Power Load via Attention-Based Encoder-Decoder with Bayesian Optimization." Energies 14, no. 6 (March 13, 2021): 1596. http://dx.doi.org/10.3390/en14061596.

Full text
Abstract:
Short-term electrical load forecasting plays an important role in the safety, stability, and sustainability of the power production and scheduling process. An accurate prediction of power load can provide a reliable decision for power system management. To solve the limitation of the existing load forecasting methods in dealing with time-series data, causing the poor stability and non-ideal forecasting accuracy, this paper proposed an attention-based encoder-decoder network with Bayesian optimization to do the accurate short-term power load forecasting. Proposed model is based on an encoder-decoder architecture with a gated recurrent units (GRU) recurrent neural network with high robustness on time-series data modeling. The temporal attention layer focuses on the key features of input data that play a vital role in promoting the prediction accuracy for load forecasting. Finally, the Bayesian optimization method is used to confirm the model’s hyperparameters to achieve optimal predictions. The verification experiments of 24 h load forecasting with real power load data from American Electric Power (AEP) show that the proposed model outperforms other models in terms of prediction accuracy and algorithm stability, providing an effective approach for migrating time-serial power load prediction by deep-learning technology.
APA, Harvard, Vancouver, ISO, and other styles
10

GAMBOA, CARLOS FERNANDO, and THOMAS ROBERTAZZI. "SIMPLE PERFORMANCE BOUNDS FOR MULTICORE AND PARALLEL CHANNEL SYSTEMS." Parallel Processing Letters 21, no. 04 (December 2011): 439–60. http://dx.doi.org/10.1142/s012962641100031x.

Full text
Abstract:
A simple modification of existing divisible load scheduling algorithms, boosting link speed by M for M parallel channels per link, allows time optimal load scheduling and performance prediction for parallel channel systems. The situation for multicore models is more complex but can be handled by a substitution involving equivalent processor speed. These modifications yield upper bounds on such parallel systems' performance. This concept is illustrated for ideal single level (star) tree networks under a variety of scheduling policies. Less than ideal parallelism can also be modeled though mechanisms of inefficiency require further research.
APA, Harvard, Vancouver, ISO, and other styles
More sources

Dissertations / Theses on the topic "Load prediction and scheduling"

1

Andrews, Matthew. "Scheduling techniques for packet routing, load, balancing and disk scheduling." Thesis, Massachusetts Institute of Technology, 1997. http://hdl.handle.net/1721.1/42692.

Full text
APA, Harvard, Vancouver, ISO, and other styles
2

Radi, Kamal Mohammed A. R. "Scheduling algorithm including load curtailment costs." Thesis, Queen's University Belfast, 1990. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.335465.

Full text
APA, Harvard, Vancouver, ISO, and other styles
3

Dacre, Marcus James. "Stochastic scheduling in networks." Thesis, University of Newcastle Upon Tyne, 1999. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.285800.

Full text
APA, Harvard, Vancouver, ISO, and other styles
4

Antoniadis, Antonios. "Scheduling algorithms for saving energy and balancing load." Doctoral thesis, Humboldt-Universität zu Berlin, Mathematisch-Naturwissenschaftliche Fakultät II, 2012. http://dx.doi.org/10.18452/16566.

Full text
Abstract:
Diese Arbeit beschäftigt sich mit Scheduling von Tasks in Computersystemen. Wir untersuchen sowohl die in neueren Arbeiten betrachtete Zielfunktion zur Energieminimierung als auch die klassische Zielfunktion zur Lastbalancierung auf mehreren Prozessoren. Beim Speed-Scaling mit Sleep-State darf ein Prozessor, der zu jedem Zeitpunkt seine Geschwindigkeit anpassen kann, auch in einen Schlafmodus übergehen. Unser Ziel ist es, den Energieverbrauch zu minimieren. Wir zeigen die NP-Härte des Problems und klären somit den Komplexitätsstatus. Wir beweisen eine untere Schranke für die Approximationsgüte für eine spezielle natürliche Klasse von Schedules. Ferner entwickeln wir eine Familie von Algorithmen, die gute Approximationsfaktoren liefert, und zeigen, dass diese sogar Lösungen liefert, die optimal für die zuvor erwähnte Klasse von Schedules sind. Anschließend widmen wir unsere Aufmerksamkeit dem folgenden Termin-basierten Scheduling-Problem. Es seien mehrere Prozessoren gegeben, wobei jeder einzelne Prozessor zu jedem Zeitpunkt seine Geschwindigkeit anpassen kann. Ziel ist es wie zuvor, den Energieverbrauch des erzeugten Schedules zu minimieren. Für den Offline-Fall entwickeln wir einen optimalen Polynomialzeit-Algorithmus. Für das Online-Problem erweitern wir die zwei bekannten Ein-Prozessor-Algorithmen Optimal Available und Average Rate. Wir zeigen, dass diese den gleichen bzw. einen um die additive Konstante von eins vergrößerten kompetiven Faktor haben. Bei der Lastbalancierung auf mehreren Prozessoren betrachten wir Offline-Load-Balancing auf identischen Maschinen. Unser Ziel ist es, die Current-Load für temporäre Tasks mit identischem Gewicht zu minimieren. Wir zeigen, dass eine Lösung mit maximaler Imbalance von eins immer existiert und entwickeln einen effizienten Algorithmus, der solche Lösungen liefert. Zum Schluss beweisen wir die NP-Härte von zwei Verallgemeinerungen des Problems.
This thesis studies problems of scheduling tasks in computing environments. We consider both the modern objective function of minimizing energy consumption, and the classical objective of balancing load across machines. We first investigate offline deadline-based scheduling in the setting of a single variable-speed processor that is equipped with a sleep state. The objective is that of minimizing the total energy consumption. Apart from settling the complexity of the problem by showing its NP-hardness, we provide a lower bound of 2 for general convex power functions, and a particular natural class of schedules. We also present an algorithmic framework for designing good approximation algorithms. Furthermore, we give tight bounds for the aforementioned particular class of schedules. We then focus on the multiprocessor setting where each processor has the ability to vary its speed. We first study the offline problem and show that optimal schedules can be computed efficiently in polynomial time. Regarding the online problem and a natural class of power functions, we extend the two well-known single-processor algorithms Optimal Available and Average Rate. We prove that Optimal Available has the same competitive ratio as in the single-processor case. For Average Rate we show a competitive factor that increases by an additive constant of one compared to the single-processor result. With respect to load balancing, we consider offline load balancing on identical machines, with the objective of minimizing the current load, for temporary unit-weight jobs. The problem can be seen as coloring n intervals with k colors, such that for each point on the line, the maximal difference between the number of intervals of any two colors is minimal. We prove that a coloring with maximal difference at most one is always possible, and develop a fast polynomial-time algorithm for generating such a coloring. Lastly, we prove that two generalizations of the problem are NP-hard.
APA, Harvard, Vancouver, ISO, and other styles
5

Piccinini, Federico. "Dynamic load balancing based on latency prediction." Thesis, KTH, Skolan för informations- och kommunikationsteknik (ICT), 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-143333.

Full text
Abstract:
Spotify is a music streaming service that offers access to a vast music catalogue; it counts more than 24 million active users in 28 different countries. Spotify's backend is made up by a constellation of independent loosely-coupled services; each service consists of a set of replicas, running on a set of servers in multiple data centers: each request to a service needs to be routed to an appropriate replica. Balancing the load across replicas is crucial to exploit available resources in the best possible way, and to provide optimal performances to clients. The main aim of this project is exploring the possibility of developing a load balancing algorithm that exploits request-reply latencies as its only load index. There are two reasons why latency is an appealing load index: in the first place it has a significant impact on the experience of Spotify users; in the second place, identifying a good load index in a distributed system presents significant challenges due to phenomena that might arise from the interaction of the different system components such as multi-bottlenecks. The use of latency as load index is even more attractive under this light, because it allows for a simple black box model where it is not necessary to model resource usage patterns and bottlenecks of every single service individually: modeling each system would be an impractical task, due both to the number of services and to the speed at which these services evolve. In this work, we justify the choice of request-reply latency as a load indicator, by presenting empirical evidence that it correlates well with known reliable load index obtained through a white box approach. In order to assess the correlation between latency and a known load index obtained through a white box approach, we present measurements from the production environment and from an ad-hoc test environment. We present the design of a novel load balancing algorithm based on a modified ' accrual failure detector that exploits request-reply latency as an indirect measure of the load on individual backends; we analyze the algorithm in detail, providing an overview of potential pitfalls and caveats; we also provide an empirical evaluation of our algorithm, compare its performances to a pure round-robin scheduling discipline and discuss which parameters can be tuned and how they affect the overall behavior of the load balancer.
APA, Harvard, Vancouver, ISO, and other styles
6

Murphy, Patrick F. R. "Load-haul-dump vehicle component life prediction using experimentally acquired load histories." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 2002. http://www.collectionscanada.ca/obj/s4/f2/dsk3/ftp04/MQ65641.pdf.

Full text
APA, Harvard, Vancouver, ISO, and other styles
7

Dogan, Osman Tufan. "A Stochastic Approach For Load Scheduling Of Cogeneration Plants." Phd thesis, METU, 2010. http://etd.lib.metu.edu.tr/upload/2/12611698/index.pdf.

Full text
Abstract:
In this thesis, load scheduling problem for cogeneration plants is interpreted in the context of stochastic programming. Cogeneration (CHP) is an important technology in energy supply of many countries. Cogeneration plants are designed and operated to cover the requested time varying demands in heat and power. Load scheduling of cogeneration plants represents a multidimensional optimization problem, where heat and electricity demands, operational parameters and associated costs exhibit uncertain behavior. Cogeneration plants are characterized by their &lsquo
heat to power ratio&rsquo
. This ratio determines the operating conditions of the plant. However, this ratio may vary in order to adapt to the physical and economical changes in power and to the meteorological conditions. Employing reliable optimization models to enhance short term scheduling capabilities for cogeneration systems is an important research area. The optimal load plan is targeted by achieving maximum revenue for cogeneration plants. Revenue is defined for the purpose of the study as the sales revenues minus total cost associated with the plant operation. The optimization problem, which aims to maximize the revenue, is modeled by thermodynamic analyses. In this context, the study introduces two objective functions: energy based optimization, exergy-costing based optimization. A new method of stochastic programming is developed. This method combines dynamic programming and genetic algorithm techniques in order to improve computational efficiency. Probability density function estimation method is introduced to determine probability density functions of heat demand and electricity price for each time interval in the planning horizon. A neural network model is developed for this purpose to obtain the probabilistic data for effective representation of the random variables. In this study, thermal design optimization for cogeneration plants is also investigated with particular focus on the heat storage volume.
APA, Harvard, Vancouver, ISO, and other styles
8

Rosas, Ham Demian. "Dynamic scheduling in multicore processors." Thesis, University of Manchester, 2012. https://www.research.manchester.ac.uk/portal/en/theses/dynamic-scheduling-in-multicore-processors(c96d6641-ba16-44d2-9da5-34c41fd15956).html.

Full text
Abstract:
The advent of multi-core processors, particularly with projections that numbers of cores will continue to increase, has focused attention on parallel programming. It is widely recognized that current programming techniques, including those that are used for scientific parallel programming, will not allow the easy formulation of general purpose applications. An area which is receiving interest is the use of programming styles which do not have side-effects. Previous work on parallel functional programming demonstrated the potential of this to permit the easy exploitation of parallelism. This thesis investigates a dynamic load balancing system for shared memory Chip Multiprocessors. This system is based on a parallel computing model called SLAM (Spreading Load with Active Messages), which makes use of functional language evaluation techniques. A novel hardware/software mechanism for exploiting fine grain parallelism is presented. This mechanism comprises a runtime system which performs dynamic scheduling and synchronization automatically when executing parallel applications. Additionally the interface for using this mechanism is provided in the form of an API. The proposed system is evaluated using cycle-level models and multithreaded applications running in a full system simulation environment.
APA, Harvard, Vancouver, ISO, and other styles
9

Bahadornejad, Momen. "On-line local load measurement based voltage instability prediction." Thesis, Queensland University of Technology, 2005. https://eprints.qut.edu.au/16187/1/Momen_Bahadornejad_Thesis.pdf.

Full text
Abstract:
Voltage instability is a major concern in operation of power systems and it is well known that voltage instability and collapse have led to blackout or abnormally low voltages in a significant part of the power system. Consequently, tracking the proximity of the power system to an insecure voltage condition has become an important element of any protection and control scheme. The expected time until instability is a critical aspect. There are a few energy management systems including voltage stability analysis function in the real-time environment of control centres, these are based on assumptions (such as off-line models of the system loads) that may lead the system to an insecure operation and/or poor utilization of the resources. Voltage instability is driven by the load dynamics, and investigations have shown that load restoration due to the on-load tap changer (OLTC) action is the main cause of the voltage instability. However, the aggregate loads seen from bulk power delivery transformers are still the most uncertain power system components, due to the uncertainty of the participation of individual loads and shortcomings of the present approaches in the load modeling. In order to develop and implement a true on-line voltage stability analysis method, the on-line accurate modeling of the higher voltage (supply system) and the lower voltage level (aggregate load) based on the local measurements is required. In this research, using the changes in the load bus measured voltage and current, novel methods are developed to estimate the supply system equivalent and to identify load parameters. Random changes in the load voltage and current are processed to estimate the supply system Thevenin impedance and the composite load components are identified in a peeling process using the load bus data changes during a large disturbance in the system. The results are then used to anticipate a possible long-term voltage instability caused by the on-load tap changer operation following the disturbance. Work on the standard test system is provided to validate the proposed methods. The findings in this research are expected to provide a better understanding of the load dynamics role in the voltage stability, and improve the reliability and economy of the system operation by making it possible to decrease uncertainty in security margins and determine accurately the transfer limits.
APA, Harvard, Vancouver, ISO, and other styles
10

Bahadornejad, Momen. "On-line local load measurement based voltage instability prediction." Queensland University of Technology, 2005. http://eprints.qut.edu.au/16187/.

Full text
Abstract:
Voltage instability is a major concern in operation of power systems and it is well known that voltage instability and collapse have led to blackout or abnormally low voltages in a significant part of the power system. Consequently, tracking the proximity of the power system to an insecure voltage condition has become an important element of any protection and control scheme. The expected time until instability is a critical aspect. There are a few energy management systems including voltage stability analysis function in the real-time environment of control centres, these are based on assumptions (such as off-line models of the system loads) that may lead the system to an insecure operation and/or poor utilization of the resources. Voltage instability is driven by the load dynamics, and investigations have shown that load restoration due to the on-load tap changer (OLTC) action is the main cause of the voltage instability. However, the aggregate loads seen from bulk power delivery transformers are still the most uncertain power system components, due to the uncertainty of the participation of individual loads and shortcomings of the present approaches in the load modeling. In order to develop and implement a true on-line voltage stability analysis method, the on-line accurate modeling of the higher voltage (supply system) and the lower voltage level (aggregate load) based on the local measurements is required. In this research, using the changes in the load bus measured voltage and current, novel methods are developed to estimate the supply system equivalent and to identify load parameters. Random changes in the load voltage and current are processed to estimate the supply system Thevenin impedance and the composite load components are identified in a peeling process using the load bus data changes during a large disturbance in the system. The results are then used to anticipate a possible long-term voltage instability caused by the on-load tap changer operation following the disturbance. Work on the standard test system is provided to validate the proposed methods. The findings in this research are expected to provide a better understanding of the load dynamics role in the voltage stability, and improve the reliability and economy of the system operation by making it possible to decrease uncertainty in security margins and determine accurately the transfer limits.
APA, Harvard, Vancouver, ISO, and other styles
More sources

Books on the topic "Load prediction and scheduling"

1

Wiendahl, Hans-Peter. Load-oriented manufacturing control. Berlin: Springer-Verlag, 1995.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
2

Papini, Marcello. Fracture load prediction of structural adhesive joints. Ottawa: National Library of Canada, 1993.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
3

Wiendahl, Hans-Peter. Load-Oriented Manufacturing Control. Berlin, Heidelberg: Springer Berlin Heidelberg, 1995.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
4

R, Hurson A., and Kavi Krishna M, eds. Scheduling and load balancing in parallel and distributed systems. Los Alamitos, Calif: IEEE Computer Society Press, 1995.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
5

Yusof, Norzan Mohd. Environmental load versus concrete quality: Prediction of structure's design life. Birmingham: University of Birmingham, 1994.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
6

Kondo, Yusuke. Prediction methods of rough-road-load applied to vehicle body. Warrendale, Pa: Society of Automative Engineers, 1990.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
7

McTaggart, Kevin A. A review of eight seakeeping and hydrodynamic load prediction codes. Dartmouth, N.S: Defence Research Establishment Atlantic, 1992.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
8

Tomar, Anuradha, Prerna Gaur, and Xiaolong Jin, eds. Prediction Techniques for Renewable Energy Generation and Load Demand Forecasting. Singapore: Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-19-6490-9.

Full text
APA, Harvard, Vancouver, ISO, and other styles
9

Hirst, Eric. Ancillary-service details: Dynamic scheduling. Oak Ridge, Tenn: Oak Ridge National Laboratory, 1997.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
10

Venugopal, Sesh. Effects of partitioning and scheduling sparse matrix factorization on communication and load balance. Hampton, Va: National Aeronautics and Space Administration, Langley Research Center, 1991.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
More sources

Book chapters on the topic "Load prediction and scheduling"

1

Moharana, Suresh Chandra, Amulya Ratna Swain, and Ganga Bishnu Mund. "Prediction Based Task Scheduling for Load Balancing in Cloud Environment." In Innovations in Computer Science and Engineering, 719–26. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-33-4543-0_76.

Full text
APA, Harvard, Vancouver, ISO, and other styles
2

Jegadeesan, Nirmala, and G. Balasubramanian. "Implementation of Fuzzy Logic-Based Predictive Load Scheduling in Home Energy Management System." In Intelligent Sustainable Systems, 791–99. Singapore: Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-2894-9_60.

Full text
APA, Harvard, Vancouver, ISO, and other styles
3

Milojicic, Dejan S. "Distributed Scheduling." In Load Distribution, 89–105. Wiesbaden: Vieweg+Teubner Verlag, 1994. http://dx.doi.org/10.1007/978-3-322-85872-6_6.

Full text
APA, Harvard, Vancouver, ISO, and other styles
4

Ahmad, Ishfaq, Henri Casanova, Rupert Ford, and Yves Robert. "Scheduling and Load Balancing." In Euro-Par 2001 Parallel Processing, 154–55. Berlin, Heidelberg: Springer Berlin Heidelberg, 2001. http://dx.doi.org/10.1007/3-540-44681-8_23.

Full text
APA, Harvard, Vancouver, ISO, and other styles
5

Drozdowski, Maciej, Ioannis Milis, Larry Rudolph, and Denis Trystram. "Scheduling and Load Balancing." In Euro-Par 2002 Parallel Processing, 187–88. Berlin, Heidelberg: Springer Berlin Heidelberg, 2002. http://dx.doi.org/10.1007/3-540-45706-2_23.

Full text
APA, Harvard, Vancouver, ISO, and other styles
6

Yahyapour, Ramin, Raffaele Perego, Frédéric Desprez, Leah Epstein, and Francesc Guim Bernat. "Scheduling and Load Balancing." In Euro-Par 2010 - Parallel Processing, 156. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-15277-1_15.

Full text
APA, Harvard, Vancouver, ISO, and other styles
7

Schnor, Bettina. "Scheduling and Load Balancing." In Euro-Par 2000 Parallel Processing, 217. Berlin, Heidelberg: Springer Berlin Heidelberg, 2000. http://dx.doi.org/10.1007/3-540-44520-x_29.

Full text
APA, Harvard, Vancouver, ISO, and other styles
8

Geib, Jean-Marc, Bruce Hendrickson, Pierre Manneback, and Jean Roman. "Scheduling and Load Balancing." In Euro-Par’99 Parallel Processing, 271. Berlin, Heidelberg: Springer Berlin Heidelberg, 1999. http://dx.doi.org/10.1007/3-540-48311-x_34.

Full text
APA, Harvard, Vancouver, ISO, and other styles
9

Wiendahl, Hans-Peter. "Conventional Production Scheduling and Control." In Load-Oriented Manufacturing Control, 13–36. Berlin, Heidelberg: Springer Berlin Heidelberg, 1995. http://dx.doi.org/10.1007/978-3-642-57743-7_2.

Full text
APA, Harvard, Vancouver, ISO, and other styles
10

Prakash Vidyarthi, Deo, Biplab Kumer Sarker, Anil Kumar Tripathi, and Laurence Tianruo Yang. "Load Balancing in DCS." In Scheduling in Distributed Computing Systems, 1–13. Boston, MA: Springer US, 2008. http://dx.doi.org/10.1007/978-0-387-74483-4_4.

Full text
APA, Harvard, Vancouver, ISO, and other styles

Conference papers on the topic "Load prediction and scheduling"

1

Patel, Dharmesh, Mosin Hasan, and Kirti Sharma. "Optimizing MapReduce scheduling using datanode load prediction." In 2015 International Conference on Electrical, Electronics, Signals, Communication and Optimization (EESCO). IEEE, 2015. http://dx.doi.org/10.1109/eesco.2015.7253840.

Full text
APA, Harvard, Vancouver, ISO, and other styles
2

Filali, Abderrahime, Soumaya Cherkaoui, and Abdellatif Kobbane. "Prediction-Based Switch Migration Scheduling for SDN Load Balancing." In ICC 2019 - 2019 IEEE International Conference on Communications (ICC). IEEE, 2019. http://dx.doi.org/10.1109/icc.2019.8761469.

Full text
APA, Harvard, Vancouver, ISO, and other styles
3

Dambreville, Alexandre, Joanna Tomasik, Johanne Cohen, and Fabien Dufoulon. "Load Prediction for Energy-Aware Scheduling for Cloud Computing Platforms." In 2017 IEEE 37th International Conference on Distributed Computing Systems (ICDCS). IEEE, 2017. http://dx.doi.org/10.1109/icdcs.2017.201.

Full text
APA, Harvard, Vancouver, ISO, and other styles
4

Wang, Jindong, Yahui Wang, and Qing Liu. "Study on Optimization Model ofPipeline Network Scheduling Based on Gas Load Prediction." In 2020 Chinese Control And Decision Conference (CCDC). IEEE, 2020. http://dx.doi.org/10.1109/ccdc49329.2020.9164197.

Full text
APA, Harvard, Vancouver, ISO, and other styles
5

Zhong, Chen, and Xin Yuan. "Intelligent Elastic Scheduling Algorithms for PaaS Cloud Platform Based on Load Prediction." In 2019 IEEE 8th Joint International Information Technology and Artificial Intelligence Conference (ITAIC). IEEE, 2019. http://dx.doi.org/10.1109/itaic.2019.8785600.

Full text
APA, Harvard, Vancouver, ISO, and other styles
6

He, Jianhua, Yan Peng, and Xia Long. "Study on Load Balancing Scheduling Strategy based on Prediction and ACO Algorithm." In 2020 2nd International Conference on Applied Machine Learning (ICAML). IEEE, 2020. http://dx.doi.org/10.1109/icaml51583.2020.00076.

Full text
APA, Harvard, Vancouver, ISO, and other styles
7

Shen, Wenfeng, Lianqiang Sun, Daming Wei, Weimin Xu, Xin Zhu, and Shizhong Yuan. "Load-Prediction Scheduling for Computer Simulation of Electrocardiogram on a CPU-GPU PC." In 2013 IEEE 16th International Conference on Computational Science and Engineering (CSE). IEEE, 2013. http://dx.doi.org/10.1109/cse.2013.42.

Full text
APA, Harvard, Vancouver, ISO, and other styles
8

Arun, S. L., and M. P. Selvan. "Very short term prediction of solar radiation for residential load scheduling in smartgrid." In 2016 19th National Power Systems Conference (NPSC). IEEE, 2016. http://dx.doi.org/10.1109/npsc.2016.7858880.

Full text
APA, Harvard, Vancouver, ISO, and other styles
9

Al-quraan, Rawaa, and Abdallah Alma'aitah. "A Secure Switch Migration Scheduling based on Prediction for Load Balancing in SDN." In 2021 12th International Conference on Information and Communication Systems (ICICS). IEEE, 2021. http://dx.doi.org/10.1109/icics52457.2021.9464560.

Full text
APA, Harvard, Vancouver, ISO, and other styles
10

Habib, Abdulelah H., Jan Kleissl, and Raymond A. de Callafon. "Model predictive load scheduling using solar power forecasting." In 2016 American Control Conference (ACC). IEEE, 2016. http://dx.doi.org/10.1109/acc.2016.7525410.

Full text
APA, Harvard, Vancouver, ISO, and other styles

Reports on the topic "Load prediction and scheduling"

1

Trudnowski, D. J., J. M. Johnson, and P. Whitney. Power system very short-term load prediction. Office of Scientific and Technical Information (OSTI), February 1997. http://dx.doi.org/10.2172/552797.

Full text
APA, Harvard, Vancouver, ISO, and other styles
2

Yuasa, Takuya, and Toshiaki Nakamaru. Road Load Prediction Method Using Effective Road Profile. Warrendale, PA: SAE International, May 2005. http://dx.doi.org/10.4271/2005-08-0129.

Full text
APA, Harvard, Vancouver, ISO, and other styles
3

Haga, Hitoshi. Evaluation Method for Road Load Simulation~Load Prediction for Durability Using a Tire Model. Warrendale, PA: SAE International, May 2005. http://dx.doi.org/10.4271/2005-08-0130.

Full text
APA, Harvard, Vancouver, ISO, and other styles
4

Sikora, Jerome P., and Nathan B. Klontz. Seaway Load Prediction Algorithms for High-Speed Hull Forms. Fort Belvoir, VA: Defense Technical Information Center, March 2004. http://dx.doi.org/10.21236/ada425380.

Full text
APA, Harvard, Vancouver, ISO, and other styles
5

Dinda, Peter A., and David R. O'Hallaron. An Evaluation of Linear Models for Host Load Prediction. Fort Belvoir, VA: Defense Technical Information Center, November 1998. http://dx.doi.org/10.21236/ada358577.

Full text
APA, Harvard, Vancouver, ISO, and other styles
6

Furlow, John S. Parametric Dynamic Load Prediction of a Narrow Gauge Rocket Sled. Fort Belvoir, VA: Defense Technical Information Center, December 2006. http://dx.doi.org/10.21236/ada466902.

Full text
APA, Harvard, Vancouver, ISO, and other styles
7

Kueck, John D., Brendan J. Kirby, Moonis Raza Ally, and C. Keith Rice. Prediction of Air Conditioning Load Response for Providing Spinning Reserve - ORNL Report. Office of Scientific and Technical Information (OSTI), February 2009. http://dx.doi.org/10.2172/969968.

Full text
APA, Harvard, Vancouver, ISO, and other styles
8

Williams, Nathan, Samuel S. Booth, and Edward Ian Baring-Gould. Survey Use in Micro-Grid Load Prediction, Project Development, and Operations: Review and Best Practices. Office of Scientific and Technical Information (OSTI), May 2019. http://dx.doi.org/10.2172/1513803.

Full text
APA, Harvard, Vancouver, ISO, and other styles
9

Al-Qadi, Imad, Jaime Hernandez, Angeli Jayme, Mojtaba Ziyadi, Erman Gungor, Seunggu Kang, John Harvey, et al. The Impact of Wide-Base Tires on Pavement—A National Study. Illinois Center for Transportation, October 2021. http://dx.doi.org/10.36501/0197-9191/21-035.

Full text
Abstract:
Researchers have been studying wide-base tires for over two decades, but no evidence has been provided regarding the net benefit of this tire technology. In this study, a comprehensive approach is used to compare new-generation wide-base tires (NG-WBT) with the dual-tire assembly (DTA). Numerical modeling, prediction methods, experimental measurements, and environmental impact assessment were combined to provide recommendations about the use of NG-WBT. A finite element approach, considering variables usually omitted in the conventional analysis of flexible pavement was utilized for modeling. Five hundred seventy-six cases combining layer thickness, material properties, tire load, tire inflation pressure, and pavement type (thick and thin) were analyzed to obtained critical pavement responses. A prediction tool, known as ICT-Wide, was developed based on artificial neural networks to obtain critical pavement responses in cases outside the finite element analysis matrix. The environmental impacts were determined using life cycle assessment. Based on the bottom-up fatigue cracking, permanent deformation, and international roughness index, the life cycle energy consumption, cost, and green-house gas (GHG) emissions were estimated. To make the outcome of this research effort useful for state departments of transportation and practitioners, a modification to AASHTOWare is proposed to account for NG-WBT. The revision is based on two adjustment factors, one accounting for the discrepancy between the AASHTOware approach and the finite element model of this study, and the other addressing the impact of NG-WBT.
APA, Harvard, Vancouver, ISO, and other styles
10

ROTATIONAL STIFFNESS MODEL FOR SHALLOW EMBEDDED STEEL COLUMN BASES. The Hong Kong Institute of Steel Construction, August 2022. http://dx.doi.org/10.18057/icass2020.p.308.

Full text
Abstract:
Embedded steel column bases are normally idealized as fixed boundary condition in the analysis of steel frameworks. In practice, the embedded column bases sometimes have embedded depth notably smaller than that recommended by the structural design codes. In such a case, the fixed boundary assumption may overestimate the stiffness of the bases to a large extent. In light of this, this paper proposes a theoretical model for the accurate prediction of the rotational stiffness of the shallow embedded steel column bases, with the combined effects of key influencing factors, including the axial load in the column, the shear deformation of the embedded column, the rotational constraint provided by the column end plate, and the stiffness contribution from the anchor bolts. To achieve this, the calculation of the rotational stiffness of the base plate is refined in this paper based on previous study, which can consider the contribution from the anchor bolts, and incorporated in the Winkler foundation beam model, giving the expression of the initial rotational stiffness of the embedded column base. The proposed model is validated by the experimental and finite element simulation results.
APA, Harvard, Vancouver, ISO, and other styles
You might also be interested in the extended bibliographies on the topic 'Load prediction and scheduling' for particular source types:
Journal articles Dissertations / Theses Books
We offer discounts on all premium plans for authors whose works are included in thematic literature selections. Contact us to get a unique promo code!

To the bibliography