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This paper proposes modelling ranked load curves using algebraic polynomials. Starting from the assumption of some characteristic parameters of load profiles: maximum power, minimum power and the energy consumption in a time period, characteristic coefficients of different types of algebraic polynomials such as: linear, parabolic and third-order are obtained. The modelling of real load profile has...
In this paper, we implement a complete Home Energy Management System (HEMS) capable of scheduling loads based on real-time electricity pricing information and user-defined priority. Real-time pricing information can provide numerous economic advantages as compared to the conventional flat rate tariffs. It can allow customers to respond to the price changes by increasing or decreasing energy consumption...
Energy management is one of the most important problems in the world today, due among other reasons to the increase in clients electricity demand which generates the Peak Load problem. The rise of Smart Grids as a new paradigm, developed mainly to address those requirements, allows the design and implementation of more complex management and monitoring systems. In this paper, we propose a modelization...
The electrical energy consumption associated with sanitary water heating makes up a large part of the total load associated with residential energy consumption, and therefore load models thereof could find use in various Energy Management (EM) applications. This paper presents the results of an investigation to model the electrical load associated with the combined sanitary hot water heating systems...
Power models are crucial to assess the power consumption of base stations (BSs) without quantitive description. Currently available models seldom consider the dynamic factors such as indoor and outdoor temperature. As power model will affect the energy-saving gains of different green resolutions, in this paper we provide such power models for mobile communication BSs relying on practical data collected...
This paper presents the work program of DESIMAX, a collaborative research project looking at wide-scale implementation of demand side management (DSM) within electricity networks. To fully understand the implications of extended use of DSM, it is important to develop multi-scale models that will be able to capture, predict and demonstrate the response of the power system at time scales ranging from...
Load forecasting is important for power systems planning, and, on the operational level, for the grid operators and the balance responsible parties. A decrease in the load forecasting error increases the security of supply, and leads to the decrease in the financial costs for both market participants and the power system as a whole. Different studies have investigated influence of load forecasting...
In times of ever increasing power feed-in from fluctuating renewable power sources like wind and solar power it increases the need for more storage capacity to compensate such fluctuations. Electric vehicles (EVs) are often described as a possible way to provide this storage capacity. To make the storage of EVs available in a reasonable manner an energy management system is needed. In our research...
Basing on the analysis of functional object of decision support system (DSS) for industrial distribution in town, this study further analyzes and designs the system structure, industrial layout, as well as the professional model features in detail. Using spatial data as the information infrastructure, specific model of industrial distribution as the core, we also utilize Visual Studio.net, SuperMap...
Recently implementation of Time of Use (TOU) program has been started in Iranian Power Systems by means of three tariffs digital meters. Time based rate Demand Response (DR) applicability, necessity of peak reduction (in peak hours) and increasing Load Factor (LF) are main reasons for installing the mentioned meters by Ministry of Energy. In this paper, TOU program is formulated based on economic...
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