Results 11 to 20 of about 14,317 (308)
Zhongguo dianli, 2020 With the continuous development of power industry, the importance of load forecasting is becoming more and more obvious. As an important part of load forecasting, short-term load forecasting is of great significance to the dispatching and operation of ...
Huiru ZHAO, Yihang ZHAO, Sen GUO
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Short-Term Load Forecasting 2019 [PDF]
, 2021 Short-term load forecasting (STLF) plays a key role in the formulation of economic, reliable, and secure operating strategies (planning, scheduling, maintenance, and control processes, among others) for a power system and will be significant in the ...
Antonio Gabaldón +2 more
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Short-Term Load Forecasting Using AMI Data
IEEE Internet of Things Journal, 2023 Accurate short-term load forecasting is essential for the efficient operation of the power sector. Forecasting load at a fine granularity such as hourly loads of individual households is challenging due to higher volatility and inherent stochasticity.
Haris Mansoor +5 more
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Long-Short-Term Memory Network Based Hybrid Model for Short-Term Electrical Load Forecasting
Information, 2018 Short-term electrical load forecasting is of great significance to the safe operation, efficient management, and reasonable scheduling of the power grid.
Liwen Xu +3 more
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Short-term Load Forecasting with Distributed Long Short-Term Memory
2023 IEEE Power & Energy Society Innovative Smart Grid Technologies Conference (ISGT), 2023 5 pages, 4 figures, 2023 ISGT ...
Yi Dong 0002 +3 more
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Assessing and Comparing Short Term Load Forecasting Performance
Energies, 2020 When identifying and comparing forecasting models, there may be a risk that poorly selected criteria could lead to wrong conclusions. Thus, it is important to know how sensitive the results are to the selection of criteria.
Pekka Koponen +4 more
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ANN and ANFIS for Short Term Load Forecasting [PDF]
Engineering, Technology & Applied Science Research, 2018 Load forecasting has become one of the major areas of research in electrical engineering. Short term load forecasting (STLF) is essential for power system planning and economic load dispatch. A variety of mathematical methods has been developed for load forecasting. This paper discusses the influencing factors of STLF and an artificial intelligence (AI)
J. Chakravorty, S. Shah, H. N. Nagraja
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Short Term load forecasting by means of Load Time Series Decomposition and Neural Network [PDF]
مجله مدل سازی در مهندسی, 2008            Abstract  The importance of short term load forecasting has been increasing lately. Artificial Neural Network (ANN) Method is applied to forecast the short term load forecasting for a large power system.
روحالله فیروزنیا +1 more
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Short Term Load Forecasting [PDF]
, 2019 AbstractElectrification of transport and heating, and the integration of low carbon technologies (LCT) is driving the need to know when and how much electricity is being consumed and generated by consumers. It is also important to know what external factors influence individual electricity demand.
Maria Jacob +2 more
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Short-Term Load Forecasting With Deep Residual Networks [PDF]
IEEE Transactions on Smart Grid, 2019 We present in this paper a model for forecasting short-term power loads based on deep residual networks. The proposed model is able to integrate domain knowledge and researchers' understanding of the task by virtue of different neural network building blocks.
Kunjin Chen +5 more
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