Results 1 to 10 of about 14,317 (308)
A Short-Term Load Forecasting Method Using Integrated CNN and LSTM Network
IEEE Access, 2021 In this study, a new technique is proposed to forecast short-term electrical load. Load forecasting is an integral part of power system planning and operation.
Shafiul Hasan Rafi +3 more
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Energies, 2021 With economic growth, the demand for power systems is increasingly large. Short-term load forecasting (STLF) becomes an indispensable factor to enhance the application of a smart grid (SG).
Yizhen Wang, Ningqing Zhang, Xiong Chen
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Short-term load forecasting [PDF]
Proceedings of the IEEE, 1987 This paper discusses the state of the art in short-term load forecasting (STLF), that is, the prediction of the system load over an interval ranging from one hour to one week. The paper reviews the important role of STLF in the on-line scheduling and security functions of an energy management system (EMS).
George Gross, Francisco D. Galiana
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Hybrid Techniques for Short Term Load Forecasting
Majlesi Journal of Electrical Engineering, 2023 Short Term Load Forecasting (STLF) is the projection of system load demands for the next day or week. Because of its openness in modeling, simplicity of implementation, and improved performance, the ANN-based STLF model has gained traction.
Saroj Panda, Papia Ray, Surender Salkuti
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Application of adaptive ensemble neural network method for short-term load forecasting electrical engineering complex of regional electric grid [PDF]
Омский научный вестник, 2021 The article is devoted to the problem of improving the accuracy of short-term load forecasting of electrical engineering complex of regional electric grid with the use deep machine learning tools.
N. A. Serebryakov
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Short-term load forecasting method for power system based on key feature optimization
Zhejiang dianli, 2023 Accurate forecasting of short-term power load is an important condition for the safe and economic operation of the power system. To improve the accuracy of short-term load forecasting for the power system， a short-term load forecasting method based on ...
ZHU Geng +4 more
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Short-Term Electricity Load Forecasting with Machine Learning [PDF]
Information, 2021 An accurate short-term load forecasting (STLF) is one of the most critical inputs for power plant units’ planning commitment. STLF reduces the overall planning uncertainty added by the intermittent production of renewable sources; thus, it helps to minimize the hydrothermal electricity production costs in a power grid.
Aguilar Madrid, Ernesto, António, Nuno
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Energies, 2023 With the rapid development of smart grids and distributed energy sources, the home energy management system (HEMS) is becoming a hot topic of research as a hub for connecting customers and utilities for energy visualization.
Ping Ma +4 more
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Short Term Probabilistic Load Forecasting With Integrated Methods [PDF]
E3S Web of Conferences, 2019 In smart grid era, electric load is becoming more stochastic and less predictable in short horizons with more intermittent energy and competitive electricity market transactions.
Zhang Manying +5 more
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Frontiers in Energy Research, 2022 Currently, traditional electricity consumers are now shifting to a new role of prosumers since more integration of renewable energy to demand side. Accurate short-term load demand forecasting is significant to safe, stable, and reliable operation of a ...
Jiying Wen +3 more
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