Results 11 to 20 of about 8,161 (262)
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 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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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 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 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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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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Alexandria Engineering Journal, 2020 Short-term power load forecasting plays a key role in power supply systems. Many methods have been used in short-term power load forecasting during the past years. A new short-term power load forecasting method is proposed in this study. First, the study
Fei Wu +3 more
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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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Journal of Applied Science and Engineering, 2022 To enrich short-term load forecasting methods and improve forecasting accuracy, a short-term load forecasting method based on variational mode decomposition and chaotic grey wolf optimization (CGWO) improved random forest (RF) is proposed.
Fan Wang +3 more
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Energies, 2020 Ultra-short-term electrical load forecasting is an important guarantee for the safety and efficiency of energy system operation. Temperature is also an important factor affecting the changes in electric load.
Dengyong Zhang +4 more
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