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Автор: Grafiati
Опубліковано: 14 березня 2023

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Статті в журналах з теми "Power management technique"

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Dolan, Michael J., Euan M. Davidson, Ivana Kockar, Graham W. Ault, and Stephen D. J. McArthur. "Distribution Power Flow Management Utilizing an Online Optimal Power Flow Technique." IEEE Transactions on Power Systems 27, no. 2 (May 2012): 790–99. http://dx.doi.org/10.1109/tpwrs.2011.2177673.

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Ohk, Seung-Ryeol, YongSin Kim, and Young-Jin Kim. "Phase-Based Low Power Management Combining CPU and GPU for Android Smartphones." Electronics 11, no. 16 (August 9, 2022): 2480. http://dx.doi.org/10.3390/electronics11162480.

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Smartphones have limited battery capacity, so efficient power management is required for high-performance applications and to increase usage time. In recent years, efficient power management of smartphones has become very important as the demand for power use of smartphones has grown due to deep learning, games, virtual reality, and augmented reality applications. Existing low-power techniques of smartphones focus only on lowering power consumption without considering actual power consumption based on utilization of the central processing unit (CPU) and graphics processing unit (GPU), which are major components of smartphones. In addition, they do not take into consideration the strict use of resources within the component and what instructions are being processed to operate them. In this paper, we propose a low-power technique that manages power by calculating the actual power consumption of smartphones at execution time and classifying the detailed resource operating states of CPUs and GPUs. The proposed technique was implemented by linking the kernel and native app on a Galaxy S7 smartphone equipped with Android. In experiments with 15 workloads, the proposed technique achieves an energy reduction of 18.11% compared to the low-power technique of the interactive governor built into the Galaxy S7 with a small FPS reduction of 3.12%.
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Zhou, Fang, Yong Zhong, and Pei Zhang. "Research on Thermal Management System for the Vehicle Application of Lithium-Ion Power Batteries." Advanced Materials Research 347-353 (October 2011): 984–88. http://dx.doi.org/10.4028/www.scientific.net/amr.347-353.984.

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Thermal management technique is one of the key techniques for the vehicle application of lithium-ion power batteries. Based on the analysis of thermal characteristics of the lithium-ion power batteries, the establishment of thermal model and numerical simulation for the lithium-ion power batteries were discussed. Finally, a procedure for designing battery thermal management system (BTMS) was proposed, and the key techniques during designing a BTMS were studied, including selection of heat transfer medium, design of cooling/heating structure and so on. This research provides a technique support for designing a good and effective BTMS, as well as improving the working performance and security of the lithium-ion power batteries and the electric vehicles.
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N. S. S. Rama Krishna et al.,, N. S. S. Rama Krishna et al ,. "A Review on Power Management Technique Hybrid Micro-Grid Systems." International Journal of Mechanical and Production Engineering Research and Development 8, no. 4 (2018): 203–10. http://dx.doi.org/10.24247/ijmperdaug201823.

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Hwang, Young-Si, Sung-Kwan Ku, and Ki-Seok Chung. "A predictive dynamic power management technique for embedded mobile devices." IEEE Transactions on Consumer Electronics 56, no. 2 (May 2010): 713–19. http://dx.doi.org/10.1109/tce.2010.5505992.

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Hu, Xiaotong, Tianqi Liu, Chuan He, Yiwei Ma, Yu Su, He Yin, Fei Wang, Leon M. Tolbert, Shunliang Wang, and Yilu Liu. "Real-time power management technique for microgrid with flexible boundaries." IET Generation, Transmission & Distribution 14, no. 16 (August 21, 2020): 3161–70. http://dx.doi.org/10.1049/iet-gtd.2019.1576.

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Akkar, Hanan A. R., and Sameh J. Mohammed. "Artificial Intelligent Technique for Power Management Lighting Based on FPGA." Engineering and Technology Journal 38, no. 2A (February 25, 2020): 232–39. http://dx.doi.org/10.30684/etj.v38i2a.305.

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The modern technological advances gave rise to new intelligent ways of performance and management in various fields of our lives. The employment of the artificial intelligent techniques proved influential in enhancing the technological developments and in meeting the demands for new, more efficient, more reliable and faster ways of performing activities and tasks. Lighting systems are an important part of human life. For this reason, it is important to reduce and manage energy consumption properly. Light dimming paves the way for massive energy saving in lighting applications. The options include simply reducing the output during the night and achieve maximum saving with variable dimming. Advantage can be taken of off-peak times (no light needed) to reduce energy consumption significantly. Pulse Width Modulation (PWM) technique is used as dimming method. The proposed system offers intelligent management of lighting to reduce power consumption, extend lamp life and reduce maintenance. In this work, we will be using multiple sensors such as light dependent resistor (LDR) and Motion Sensor (PIR) for LED dimming system to achieve intelligent LED lighting system to manage energy consumption. The data collected by sensors is processed by Artificial Neural Network (ANN), which is implemented by using Field Programmable Gate Arrays (FPGAs), Spartan 3A starter kit that controls the light intensity of LED from changing the duty cycle of the PWM signals. FPGA was used to implement the design, because of the re-programmability of the FPGAs, which can support the re-configuration necessary to implement the design.
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Hwang, Young-Si, and Ki-Seok Chung. "Dynamic Power Management Technique for Multicore Based Embedded Mobile Devices." IEEE Transactions on Industrial Informatics 9, no. 3 (August 2013): 1601–12. http://dx.doi.org/10.1109/tii.2012.2232299.

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Bhaduri, Rupam, G. Rahul Saravana, and C. Vaskar. "Supervisory Controller for Power Management of Microgrid Using Hybrid Technique." Transactions on Electrical and Electronic Materials 21, no. 1 (October 28, 2019): 30–47. http://dx.doi.org/10.1007/s42341-019-00152-4.

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Rajora, Harshita. "Congestion Management in Deregulated Power System Using Different Control Technique." International Journal for Research in Applied Science and Engineering Technology 10, no. 11 (November 30, 2022): 2072–77. http://dx.doi.org/10.22214/ijraset.2022.47759.

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Abstract: In today’s scenario there is a challenge for power companies to meet the expected demand load due to continuous increases in load demand causes unpredictable failure in the components of power system including transmission line, generator, transformer and various other equipment this leads to over loading in the power system and the line become congested if this failure not removed on time the system reaches to emergency state, therefore we are using various techniques to control or manage these situations these methods includes Generator Rescheduling(GR),Load Shedding, Particle Swarm Optimizer(PSO), Grey Wolf Optimization (GWO),Harmony search algorithm etc. Optimal load shedding is effective control action for congestion management. The various algorithm applied on IEEE 30 bus system.
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Дисертації з теми "Power management technique"

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Rinaldy. "A technique to incorporate the impacts of demand side management on generation expansion planning." Diss., Virginia Tech, 1992. http://hdl.handle.net/10919/40021.

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2

Acharya, Subrata. "A dynamic slack management technique for real-time distributed embedded systems." Thesis, Texas A&M University, 2004. http://hdl.handle.net/1969.1/3173.

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This work presents a novel slack management technique, the Service Rate Based Slack Distribution Technique, for dynamic real-time distributed embedded systems targeting the reduction and management of energy consumption. Energy minimization is critical for devices such as laptop computers, PCS telephones, PDAs and other mobile and embedded computing systems simply because it leads to extended battery lifetime. Such systems being power hungry rely greatly upon the system design and algorithms for processing, slack and power management. This work presents an effcient dynamic slack management scheme for an energy aware design of such systems. The proposed Service Rate Based Slack Distribution Technique has been considered with two static(FCFS, WRR) and two dynamic(EDF, RBS) scheduling schemes used most commonly in distributed systems. A fault tolerance mechanism has also been incorporated into the proposed technique inorder to use the available dynamic slack to maintain checkpoints and provide for rollbacks on faults. Results show that in comparion to contemporary techniques, the proposed Service Rate Based Slack Distribution Technique provides for about 29% more perfor-mance/overhead savings when validated with real world and random benchmarks.
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3

Chen, Quan. "Risk Management of Cascading Failure in Composite Reliability of a Deregulated Power System with Microgrids." Diss., Virginia Tech, 2013. http://hdl.handle.net/10919/52980.

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Due to power system deregulations, transmission expansion not keeping up with the load growth, and higher frequency of natural hazards resulting from climate change, major blackouts are becoming more frequent and are spreading over larger regions, entailing higher losses and costs to the economy and the society of many countries in the world. Large-scale blackouts typically result from cascading failure originating from a local event, as typified by the 2003 U.S.-Canada blackout. Their mitigation in power system planning calls for the development of methods and algorithms that assess the risk of cascading failures due to relay over-tripping, short-circuits induced by overgrown vegetation, voltage sags, line and transformer overloading, transient instabilities, voltage collapse, to cite a few. How to control the economic losses of blackouts is gaining a lot of attention among power researchers. In this research work, we develop new Monte Carlo methods and algorithms that assess and manage the risk of cascading failure in composite reliability of deregulated power systems. To reduce the large computational burden involved by the simulations, we make use of importance sampling techniques utilizing the Weibull distribution when modeling power generator outages. Another computing time reduction is achieved by applying importance sampling together with antithetic variates. It is shown that both methods noticeably reduce the number of samples that need to be investigated while maintaining the accuracy of the results at a desirable level. With the advent of microgrids, the assessment of their benefits in power systems is becoming a prominent research topic. In this research work, we investigate their potential positive impact on power system reliability while performing an optimal coordination among three energy sources within microgrids, namely renewable energy conversion, energy storage and micro-turbine generation. This coordination is modeled when applying sequential Monte Carlo simulations, which seek the best placement and sizing of microgrids in composite reliability of a deregulated power system that minimize the risk of cascading failure leading to blackouts subject to fixed investment budget. The performance of the approach is evaluated on the Roy Billinton Test System (RBTS) and the IEEE Reliability Test System (RTS). Simulation results show that in both power systems, microgrids contribute to the improvement of system reliability and the decrease of the risk of cascading failure.
Ph. D.
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Forghani-zadeh, Hassan Pooya. "An Integrated, Lossless, and Accurate Current-Sensing Technique for High-Performance Switching Regulators." Diss., Georgia Institute of Technology, 2006. http://hdl.handle.net/1853/16164.

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Switching power converters are an indispensable part of every battery-operated consumer electronic product, nourishing regulated voltages to various subsystems. In these circuits, sensing the inductor current is not only necessary for protection and control but also is critical to be done in a lossless and accurate fashion for state-of-the-art advanced control techniques, which are devised to optimize transient response, increase the efficiency over a wide range of loads, eliminate off-chip compensation networks, and integrate the power inductor. However, unavailability of a universal, integrable, lossless, and accurate current-sensing technique impedes the realization of those advanced techniques and limit their applications. Unfortunately, use of a conventional series sense resistor is not recommended in high-performance, high-power switching regulators where more than 90% efficiency is required because of their high current levels. A handful of lossless current-sensing techniques are available but their accuracies are significantly lower than the traditional sense resistor scheme. Among available lossless but not accurate techniques, an off-chip, filter-based method that uses a tuned filter across the inductor to estimate current flow and its accuracy is dependent on the inductance and its equivalent series resistance (ESR) was selected for improvement because of its inherent continuous and low-noise operation. A schemes is proposed to adapt the filter technique for integration by automatically adjusting bandwidth and gain of an on-chip programmable gm-C filter to the off-chip power inductor during the system start-up through measuring the inductance and its ESR with on-chip generated test currents. The IC prototype in AMI s 0.5-um CMOS process achieved overall DC and AC gain errors of 8% and 9%, respectively, at 0.8 A DC load and 0.2 A ripple currents for inductors from 4 uH-14 uH and ESR from 48 mOhm to 384 mOhm when lossless, state-of-the-art schemes achieve 20 40% error and only when the nominal specifications of power component (power MOSFET or inductor) are known. Moreover, the proposed circuit improved the efficiency of a test bed current-mode controlled switching regulator by more than 2.6% at 0.8 A load compared to the traditional sense resistor technique with a 50 mOhm sense resistor.
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Yarlagadda, Sriram. "A Battery Management System Using an Active Charge Equalization Yechnique Based on DC-DC Converter Topology." University of Akron / OhioLINK, 2011. http://rave.ohiolink.edu/etdc/view?acc_num=akron1306852610.

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Somov, Andrey. "Power Management and Power Consumption Optimization Techniques in Wireless Sensor Networks." Doctoral thesis, Università degli studi di Trento, 2009. https://hdl.handle.net/11572/367818.

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A Wireless Sensor Network (WSN) is a distributed collection of resource constrained tiny nodes capable of operating with minimal user attendance. Due to their flexibility and low cost, WSNs have recently become widely applied in traffic regulation, fire alarm in buildings, wild fire monitoring, agriculture, health monitoring, building energy management, and ecological monitoring. However, deployment of the WSNs in difficult-to-access areas makes it difficult to replace the batteries - the main power supply of a sensor node. It means that the power limitation of the sensor nodes appreciably constraints their functionality and potential applications. The use of harvesting components such as solar cells alone and energy storage elements such as super capacitors and rechargeable batteries is insufficient for the long-term sensor node operation. With this thesis we are going to show that long-term operation could be achieved by adopting a combination of hardware and software techniques along with energy efficient WSN design. To demonstrate the hardware power management, an energy scavenging module was designed, implemented and tested. This module is able to handle both alternating current (AC) based and direct current (DC) based ambient sources. The harvested energy is stored in two energy buffers of different kind, and is delivered to the sensor node in accordance with an efficient energy supply switching algorithm. The software part of the thesis presents an analytical criterion to establish the value of the synchronization period minimizing the average power dissipated by a WSN node. Since the radio chip is usually the most power hungry component on a board, this approach can help one to decrease the amount of power consumption and prolong the lifetime of the entire WSN. The following part of the thesis demonstrates a methodology for power consumption evaluation of WSN. The methodology supports the Platform Based Design (PBD) paradigm, providing power analysis for various sensor platforms by defining separate abstraction layers for application, services, hardware and power supply modules. Finally, we present three applications where we use the designed hardware module and apply various power management strategies. In the first application we apply the WSN paradigm to the entertainment area, and in particular to the domain of Paintball. The second one refers to a wireless sensor platform for monitoring of dangerous gases and early fire detection. The platform operation is based on the pyrolysis product detection which makes it possible to prevent fire before inflammation. The third application is connected with medical research. This work describes the powering of wireless brain-machine interfaces.
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McGlen, Ryan James. "Advanced thermal management techniques for high power electronics devices." Thesis, University of Newcastle Upon Tyne, 2007. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.533697.

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Davidson, Jonathan. "Advanced thermal modelling and management techniques to improve power density in next generation power electronics." Thesis, University of Sheffield, 2015. http://etheses.whiterose.ac.uk/8419/.

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This thesis sets out a series of new techniques to improve the thermal management of power electronics. The work is motivated by the increasing impetus to design smaller, more energy efficient electronic power systems for a range of applications, notably electric vehicles. Thermal management is an increasingly important tool which can facilitate improvements in power density through better monitoring and control of system temperatures. This thesis seeks to deliver improvements in implementing this strategy. A review of the state of the art in thermal management is reported, focussing on temperature measurement, thermal characterisation and system modelling techniques. In addition, novel techniques for arbitrary dissipation control and die temperature measurements in semiconductor devices are presented. A novel analysis of the limitations of low-order thermal models is also described. Improvements and applications of these techniques form the basis of this thesis. The pseudorandom binary sequence (PRBS) technique for system identification is applied throughout the thesis to characterise thermal systems. A mathematical analysis is provided, together with a novel technique to determine the minimum gain which can be identified by PRBS techniques in the presence of noise. A novel improvement to the PRBS technique for typically ten times more noise resilient measurements is then developed based on mathematical mixing of different frequency PRBS signals. In parallel, a novel technique is formulated to estimate the temperature throughout a multiple device system using digital IIR filters and PRBS thermal characterisation, which achieves errors of 3-5% when demonstrated practically. By combining these techniques, a comprehensive temperature estimation and control methodology is implemented for a multiple device system under active cooling. Finally, the expansion of the proposed methodologies to steady-state die temperature estimation is presented with comparable accuracy to surface temperature measurements, increasing the usefulness of the developed techniques in a practical setting.
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Wang, Xing. "Market-based transmission congestion management using extended optimal power flow techniques." Thesis, Brunel University, 2001. http://bura.brunel.ac.uk/handle/2438/4804.

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This thesis describes research into the problem of transmission congestion management. The causes, remedies, pricing methods, and other issues of transmission congestion are briefly reviewed. This research is to develop market-based approaches to cope with transmission congestion in real-time, short-run and long-run efficiently, economically and fairly. Extended OPF techniques have been playing key roles in many aspects of electricity markets. The Primal-Dual Interior Point Linear Programming and Quadratic Programming are applied to solve various optimization problems of congestion management proposed in the thesis. A coordinated real-time optimal dispatch method for unbundled electricity markets is proposed for system balancing and congestion management. With this method, almost all the possible resources in different electricity markets, including operating reserves and bilateral transactions, can be used to eliminate the real-time congestion according to their bids into the balancing market. Spot pricing theory is applied to real-time congestion pricing. Under the same framework, a Lagrangian Relaxation based region decomposition OPF algorithm is presented to deal with the problems of real-time active power congestion management across multiple regions. The inter/intra-regional congestion can be relieved without exchanging any information between regional ISOs but the Lagrangian Multipliers. In day-ahead spot market, a new optimal dispatch method is proposed for congestion and price risk management, particularly for bilateral transaction curtailment. Individual revenue adequacy constraints, which include payments from financial instruments, are involved in the original dispatch problem. An iterative procedure is applied to solve this special optimization problem with both primal and dual variables involved in its constraints. An optimal Financial Transmission Rights (FTR) auction model is presented as an approach to the long-term congestion management. Two types of series F ACTS devices are incorporated into this auction problem using the Power Injection Model to maximize the auction revenue. Some new treatment has been done on TCSC's operating limits to keep the auction problem linear.
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Eriksson, Simon. "System Analysis of Energy-Constrained Quality of Service and Power Management Techniques." Thesis, KTH, Maskinkonstruktion (Inst.), 2010. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-99457.

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This master’s thesis is a part of the GEODES project, Global Energy Optimization for Distributed Embedded Systems, and deals with the issues regarding energy-constrained Quality of Service , QoS, in real time embedded systems. Due to the development in the areas of embedded systems, new demands have arisen. Especially for mobile devices, the increase of functionality has overrun the development of batteries. To deal with these kinds of problems a new aspect of QoS has become of interest. The new aspect is to bring power awareness into the system. Power awareness means to enable enhancements or guarantees for the lifetime of a device through intelligent software. For online decision making a software component, an energy-constrained QoS manager, is needed. The manager module may be distributed in a system or dispatched locally. The mission is to decrease power consumption by the cost of lesser performance of the system. This procedure is called to introduce system degradation into the system. A lot the research in the power management field targets single components. This thesis aims to investigate the possibilities in system level management. An analysis of existing energy-constrained QoS and power management frameworks and techniques has been made, both on system level and on component level. As a result of the analysis a specification for the interface and policies of an energy-constrained QoS power manager is presented. A fundamental choice in the specification and design was that the system in hand consist of power manageable components , PMCs, which can be seen as atomic black boxes. This modeling choice was shown to be complicated to apply in real life systems and a solution proposal for interdependencies of PMCs is discussed. A design and a prototype, the Power Manager E , PME, module, has been implemented that tries to fulfill the specifications created from the analysis. The design handles both hardware and software as PMCs and optimizes for system performance under an energy constraint, expressed through desired system runtime, set by the user of the system. The prototype is implemented on an i.MX31 platform from Freescale and runs as a module to operating system OSE 5.4 Delta provided by ENEA.
Examensarbetet är en del av GEODES projektet, Global Energy Optimization for Distributed Embedded Systems. Arbetet hanterar frågor som rör energistyrd Quality of Service , QoS, i inbyggda realtidssystem. Genom den senaste utvecklingen inom området inbyggda system har nya krav introducerats. Speciellt för mobila enheter, där tillkomsten av ny funktionalitet har gått snabbare än utvecklingen av batterikapacitet. För att hantera detta så har en ny aspekt av QoS fått större intresse. Den nya aspekten är att utveckla system med en medveten energikonsumtion. Energimedvetenhet innebär mjukvara som möjliggör förbättringar eller garantier för körtiden av systemet, online eller offline. För beslut online krävs en mjukvarukomponent, en mjukvarumodul för energistyrd QoS. Uppdraget för mjukvarumodulen är att minska strömförbrukningen till kostnaden av lägre prestanda hos systemet. Detta förfarande kallas för att införa kontrollerad system degradering i systemet. Forskningen inom området koncentrerar sig mest på att minska energikonsumtionen för enskilda komponenter. I detta examensarbete så är siktet ställt på att hitta metoder som fungerar på systemnivå. En analys av befintliga ramverk och tekniker för mjukvarukontrollerad energikonsumtion samt energistyrd QoS har genomförts, både på systemnivå och på komponentnivå. Resultatet av analysen presenteras av en specifikation för en energistyrd QoS styrmodul anpassad för kontroll på systemnivå. Ett grundläggande antagande i specifikationen och implementeringen var att systemet i fråga består av komponenter med ställbar energiförbrukning. Dessa komponenter kan ses som fristående oberoende funktionaliteter. Modellantagande visade sig vara komplicerat att tillämpa på verkliga system och ett lösningsförslag vid beroenden mellan komponenter diskuteras. En design och en prototyp Power Manager E , PME, har skapats enligt den specifikation som tagits fram i rapporten. Den hanterar både hårdvara och mjukvara som ställbara komponenter och försöker optimera systemets prestanda under krav på energikonsumtion. Kravet ställs av användaren genom en önskad körtid av systemet. Protoypen är byggd på en i.MX31-plattform från Freescale och är en tilläggsmodul till OSE5.4 Delta från ENEA.
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Книги з теми "Power management technique"

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Québec (Province). Commission scientifique et technique chargée d'analyser les événements relatifs à la tempête de verglas survenue du 5 au 9 janvier 1998. Facing the unforeseeable: Lessons from the ice storm of '98 : report of the Commission scientifique et technique chargée d'analyser les événements relatifs à la tempête de verglas survenue du 5 au 9 janvier 1998, ainsi que l'action des divers intervenants. [Québec]: The Commission, 1999.

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2

National Council on Radiation Protection and Measurements. Management techniques for laboratories and other small institutional generators to minimize off-site disposal of low-level radioactive waste. Bethesda, Md: National Council on Radiation Protection and Measurements, 2003.

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3

Chen, Ke-Horng. Power Management Techniques for Integrated Circuit Design. Singapore: John Wiley & Sons Singapore Pte. Ltd, 2016. http://dx.doi.org/10.1002/9781118896846.

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4

Kaiser, Victor. Industrial energy management: Refining petrochemicals and gas processing techniques. Paris: Éditions Technip, 1993.

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5

Benini, Luca. Dynamic Power Management: Design Techniques and CAD Tools. Boston, MA: Springer US, 1998.

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Benini, Luca. Dynamic power management: Design techniques and CAD tools. Boston: Kluwer, 1998.

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7

Yong-Hua, Song, ed. Modern optimisation techniques in power systems. Dordrecht: Kluwer Academic Publishers, 1999.

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Quek, Tony Q. S. Small cell networks: Deployment, PHY techniques, and resource management. Cambridge: Cambridge University Press, 2013.

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9

Power struggles: Successful techniques for educators. Rochester, N.Y: Discipline Associates, 1997.

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Mendler, Allen N. Power struggles: Successful techniques for educators. 2nd ed. Bloomington, IN: Solution Tree Press, 2012.

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Частини книг з теми "Power management technique"

1

Prasad, Avagaddi, and J. Belwin Edward. "Wavelet Technique-Based Fault Classification in Transmission Lines." In Advances in Power Systems and Energy Management, 403–10. Singapore: Springer Singapore, 2017. http://dx.doi.org/10.1007/978-981-10-4394-9_40.

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Ambikapathy, A., Ayush Kumar, Jaspal Verma, Gajendra Singh, and Reena Sharma. "Arduino Based Accident Prevention Technique Using Eye Blink Sensor." In Advances in Power Systems and Energy Management, 379–85. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-15-7504-4_36.

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Vasan, S. Keerthi, S. Jancy, Mercy Paul Selvan, and Viji Amutha Mary. "Proficient Data Retrieval Technique in Cloud Using TF-IDF Model." In Advances in Power Systems and Energy Management, 549–55. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-15-7504-4_54.

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Ambikapathy, A., Deepak Kumar, Kshitij Bhatnagar, Aman Srivastava, Abu Bakar, and Gajendra Singh. "Identification of Suitable PLL Technique for Grid-Connected PV System." In Advances in Power Systems and Energy Management, 343–52. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-15-7504-4_33.

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Saraswat, Jyoti, and Jaydeep Chakravorty. "Improvement of Electrical Power Quality with Distributed Power Flow Controller with Fuzzy PWM Technique." In Advances in Power Systems and Energy Management, 193–203. Singapore: Springer Singapore, 2017. http://dx.doi.org/10.1007/978-981-10-4394-9_20.

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Sujatha, K., N. P. G. Bhavani, Rajeswary Hari, K. Senthil Kumar, N. Jayachitra, S. Krishnaveni, K. S. Thivya, A. Kalaivani, and B. Rengammal Sankari. "Power Management Technique for Energy-Efficient Communication Systems in Telemedicine." In Green Technological Innovation for Sustainable Smart Societies, 115–43. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-73295-0_6.

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Sravan Kumar, B., R. Uma Maheswari, B. Sateesh, B. Venkateswara Rao, and G. V. Nagesh Kumar. "Contingency Management of a Power System Using Rapid Contingency Management Technique and Harmony Search Algorithm." In Lecture Notes in Mechanical Engineering, 821–29. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-2696-1_79.

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Ananthraj, C. R., Arnab Ghosh, and Vikash Gurugubelli. "Modelling a Battery and SOC Calculation Using Coulomb Counting Technique and Simulation of Equalising Techniques Used in Battery Management Systems." In Advanced Power Electronics Converters for Future Renewable Energy Systems, 35–61. Boca Raton: CRC Press, 2023. http://dx.doi.org/10.1201/9781003323471-2.

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Viswanathan, Rajeswari, and Babita Gupta. "Control of Gate Valve of Micro Hydro Power Plant Using Fuzzy Logic Control Technique." In ICICCT 2019 – System Reliability, Quality Control, Safety, Maintenance and Management, 489–93. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-8461-5_55.

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Salehi, Mohammad, Florian Kriebel, Semeen Rehman, and Muhammad Shafique. "Power-Aware Fault-Tolerance for Embedded Systems." In Dependable Embedded Systems, 565–88. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-52017-5_24.

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Анотація:
AbstractPower-constrained fault-tolerance has emerged as a key challenge in the deep sub-micron technology. Multi-/many-core chips can support different hardening modes considering variants of redundant multithreading (RMT). In dark silicon chips, the maximum number of cores that can simultaneously be powered-on (at the full performance level) is constrained by the thermal design power (TDP). The rest of the cores have to be power-gated (i.e., stay “dark”), or the cores have to operate at a lower performance level. It has been predicted that about 25–50% of a many-core chip can potentially be “dark.” In this chapter, a system-level power–reliability management technique is presented. The technique jointly considers multiple hardening modes at the software and hardware levels, each offering distinct power, reliability, and performance properties. Also, a framework for the system-level optimization is introduced which considers different power–reliability–performance management problems for many-core processors depending upon the target system and user constraints.
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Тези доповідей конференцій з теми "Power management technique"

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Dolan, M., E. Davidson, I. Kockar, G. Ault, and S. McArthur. "Distribution power flow management utilising an online Optimal Power Flow technique." In 2012 IEEE Power & Energy Society General Meeting. New Energy Horizons - Opportunities and Challenges. IEEE, 2012. http://dx.doi.org/10.1109/pesgm.2012.6345287.

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Rahim, M. A., I. Musirin, I. Z. Abidin, M. M. Othman, and D. Joshi. "Congestion management based optimization technique using bee colony." In 2010 4th International Power Engineering and Optimization Conference (PEOCO). IEEE, 2010. http://dx.doi.org/10.1109/peoco.2010.5559247.

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Zhao, Baoxian, Hakan Aydin, and Dakai Zhu. "Enhanced reliability-aware power management through shared recovery technique." In the 2009 International Conference. New York, New York, USA: ACM Press, 2009. http://dx.doi.org/10.1145/1687399.1687412.

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Cheng, Ching-Hwa. "A voltage management technique for low-power domino circuits." In 2011 International Symposium on Integrated Circuits (ISIC). IEEE, 2011. http://dx.doi.org/10.1109/isicir.2011.6131902.

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Geng, Xin, and Philip T. Krein. "Predistorted Pulse Width Modulation Technique for Switching Signal Spectrum Management." In 2007 IEEE Power Electronics Specialists Conference. IEEE, 2007. http://dx.doi.org/10.1109/pesc.2007.4342475.

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Hamid, Z., I. Musirin, M. N. A. Rahim, and N. A. Mohamed Kamari. "Hybrid ant colony technique for reactive power tracing in deregulated power system." In 2012 International Conference on Innovation Management and Technology Research (ICIMTR). IEEE, 2012. http://dx.doi.org/10.1109/icimtr.2012.6236485.

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Rahim, M. N. A., I. Musirin, Z. A. Hamid, and N. A. M. Kamari. "BCO based technique for line outage identification in congestion management." In 2012 IEEE International Power Engineering and Optimization Conference. IEEE, 2012. http://dx.doi.org/10.1109/peoco.2012.6230896.

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Al-Mogren, Ahmad S. "A power efficient technique for multi-channel dissemination networks." In 2008 Third International Conference on Digital Information Management (ICDIM). IEEE, 2008. http://dx.doi.org/10.1109/icdim.2008.4746792.

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Shree, Shreya, Shweta Bharti, Chameli Reang, Aditya Pratyush, and Pooja Joshi. "Cascade FinFET Direct Coupled Amplifier with Power Efficient Technique." In 2021 Innovations in Energy Management and Renewable Resources (IEMRE). IEEE, 2021. http://dx.doi.org/10.1109/iemre52042.2021.9386973.

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Arshad, M., and S. M. Islam. "A Novel Fuzzy Logic Technique for Power Transformer Asset Management." In Conference Record of the 2006 IEEE Industry Applications Conference Forty-First IAS Annual Meeting. IEEE, 2006. http://dx.doi.org/10.1109/ias.2006.256536.

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Звіти організацій з теми "Power management technique"

1

Mittal, Sparsh. Power Management Techniques for Data Centers: A Survey. Office of Scientific and Technical Information (OSTI), July 2014. http://dx.doi.org/10.2172/1150909.

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Glass, Samuel W., Leonard S. Fifield, Gerges Dib, Jonathan R. Tedeschi, Anthony M. Jones, and Trenton S. Hartman. State of the Art Assessment of NDE Techniques for Aging Cable Management in Nuclear Power Plants FY2015. Office of Scientific and Technical Information (OSTI), September 2015. http://dx.doi.org/10.2172/1242348.

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