Results 11 to 20 of about 8,580 (164)
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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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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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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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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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 [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 power load forecasting based on I-GWO-KELM algorithm [PDF]
MATEC Web of Conferences, 2021 In this paper, I-GWO-KELM algorithm is used for short-term power load forecasting. Normalize the power data and meteorological data of the short-term power load, and use GWO to optimize the regularization coefficient of KELM and the RBF kernel parameters.
Chen Xiaoyu, Dong Xiangli, Shi Li
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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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Short term electricity load forecasting for institutional buildings
Energy Reports, 2019 Peak load demand forecasting is important in building unit sectors, as climate change, technological development, and energy policies are causing an increase in peak demand. Thus, accurate peak load forecasting is a critical role in preventing a blackout
Yunsun Kim, Heung-gu Son, Sahm Kim
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Spatial‐temporal learning structure for short‐term load forecasting
IET Generation, Transmission & Distribution, 2023 In the power system operational/planning studies, it is a crucial task to provide the load consumption information in the look‐ahead times. The huge variation of the power system infrastructure in recent years has led to significant changes in the ...
Mahtab Ganjouri +3 more
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