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The power dissipated by digital systems under realistic input stimuli is not accurately described by a single average value, but by a waveform that shows how power consumption varies over time as the system responds to the inputs....
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The power dissipated by digital systems under realistic input stimuli is not accurately described by a single average value, but by a waveform that shows how power consumption varies over time as the system responds to the inputs. We face the problem of obtaining accurate power waveforms for combinational and sequential circuits under typical usage patterns. We propose a multi level simulation engine that achieves high accuracy in estimating the average power as well as the time domain power waveform with high computational efficiency.
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The article deals with the problems of decreasing peaks and possible ways of equalizing curve of power demand in big cities based on the example of Ekaterinburg, Russia's No.3 big city.
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This paper proposes the registration information, the participation information for classifying demand resources participate in demand response program. Modeling demand resources from them, it evaluates values of demand resources....
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This paper proposes the registration information, the participation information for classifying demand resources participate in demand response program. Modeling demand resources from them, it evaluates values of demand resources. Specially assuming that ignore the loss in power system, they take a role as generation. Therefore this paper proposes the conceptual transformation of demand resources into virtual generation units and then ISO executes DR scheduling from evaluated demand resources' values and generation data, network data.
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摘要 :
This paper proposes the registration information, the participation information for classifying demand resources participate in demand response program. Modeling demand resources from them, it evaluates values of demand resources....
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This paper proposes the registration information, the participation information for classifying demand resources participate in demand response program. Modeling demand resources from them, it evaluates values of demand resources. Specially assuming that ignore the loss in power system, they take a role as generation. Therefore this paper proposes the conceptual transformation of demand resources into virtual generation units and then ISO executes DR scheduling from evaluated demand resources' values and generation data, network data.
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摘要 :
This paper proposes the registration information, the participation information for classifying demand resources participate in demand response program. Modeling demand resources from them, it evaluates values of demand resources....
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This paper proposes the registration information, the participation information for classifying demand resources participate in demand response program. Modeling demand resources from them, it evaluates values of demand resources. Specially assuming that ignore the loss in power system, they take a role as generation. Therefore this paper proposes the conceptual transformation of demand resources into virtual generation units and then ISO executes DR scheduling from evaluated demand resources' values and generation data, network data.
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This paper first introduces the concept of demand side management and its relationship with demand response; and then introduces problems and solutions involved in the process of implying the demand side management, such as the la...
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This paper first introduces the concept of demand side management and its relationship with demand response; and then introduces problems and solutions involved in the process of implying the demand side management, such as the ladder electricity price, classify the electricity users, predict the loads and evaluate the benefits; finally introduces the concept and classification of demand response, and has made the concrete interpretation for each response measures.
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This paper presents a management strategy focused on the intelligent use of information based on the implementation of proactive methods and practices using data acquisition, supervision and control aimed at reducing electricity e...
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This paper presents a management strategy focused on the intelligent use of information based on the implementation of proactive methods and practices using data acquisition, supervision and control aimed at reducing electricity expenditure in public institutions. The article proposes the implementation of an energy management system emphasizing the opportunity of (i) control of energy expenditure, (ii) awareness of the agents involved in the rational use of energy and (iii) reduction in costs associated with management by the demand side. The main steps necessary for the implementation of a system based on NBR ISO 50.001/2018 (1) will be described, focusing on the characteristics of a public institution of higher education. The article also presents a case study of electrical energy contracting for a public company, the Brazilian Air Force Unit in Santa Maria, where new optimum demand values were established for peak and off-peak periods from the consumption profile and the contracted energy and demand tariff values. The result was positive with a reduction in cost compared to the initial scenario, with the possibility of increasing this result through the implementation of an energy management system, demonstrating that investment in management based on information and methods for intelligent decision making is the way to the rational use of energy with cost reduction in public buildings.
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The scope of this paper is to provide a review on the topic of demand side management. A historical overview provides a critical insight to applied cases, while the discovery of new evidence calls for reconsideration of the design...
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The scope of this paper is to provide a review on the topic of demand side management. A historical overview provides a critical insight to applied cases, while the discovery of new evidence calls for reconsideration of the design of demand response control schemes. The developments at the demand side are analyzed, and philosophical considerations are made with respect to envisioned energy management systems. Finally, the authors classify demand response control schemes based on the formulation of the rate structures and the employed technology. This classification follows a historical order, and addresses both applied cases and research developments.
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摘要 :
The scope of this paper is to provide a review on the topic of demand side management. A historical overview provides a critical insight to applied cases, while the discovery of new evidence calls for reconsideration of the design...
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The scope of this paper is to provide a review on the topic of demand side management. A historical overview provides a critical insight to applied cases, while the discovery of new evidence calls for reconsideration of the design of demand response control schemes. The developments at the demand side are analyzed, and philosophical considerations are made with respect to envisioned energy management systems. Finally, the authors classify demand response control schemes based on the formulation of the rate structures and the employed technology. This classification follows a historical order, and addresses both applied cases and research developments.
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摘要 :
The topic of demand side management is currently becoming more important than ever, in parallel with the further deregulation of the electricity sector, and the increasing integration of renewable energy sources. A historical revi...
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The topic of demand side management is currently becoming more important than ever, in parallel with the further deregulation of the electricity sector, and the increasing integration of renewable energy sources. A historical review of automation integration in power system control assists in identifying established operational rules of contemporary systems, which subsequently evoke fundamental requirements for demand response applications. The scope of this paper is to provide a set of infrastructural, architectural and operational criteria for demand response systems, to support the process of establishing standards and procedures. An effort is made to address the views of system and market operators, deregulated utilities, ancillary service providers and customers.
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