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ANN-Based Short-Term Load Forecasting
2018Load forecasting is a very crucial issue for the operational planning of electrical power systems. In the sixth chapter, it is formulated that a reliable power network along with load prediction models is essential for uninterrupted supply of electrical energy to the consumers.
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Kernel Regression Based Short-Term Load Forecasting
2006Electrical load forecasting is an important tool in managing transmission and distribution facilities, financial resources, manpower, and materials at electrical power utility companies. A simple and accurate electrical load forecasting scheme is required. Short-term load forecasting (STLF) involves predicting the load from few hours to a week ahead. A
Vivek Agarwal +2 more
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Short-term load forecasting based on CEEMDAN and Transformer
Electric power systems research, 2023Peng Ran, Kun Dong, X. Liu, Jing Wang
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Neural networks for short-term load forecasting: a review and evaluation
, 2001H. S. Hippert, C. E. Pedreira, R. Souza
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SARS-CoV-2 viral load and shedding kinetics
Nature Reviews Microbiology, 2022Olha Puhach +2 more
exaly
Initial report of decreased SARS-CoV-2 viral load after inoculation with the BNT162b2 vaccine
Nature Medicine, 2021Matan Levine-Tiefenbrun +2 more
exaly
Short-term load forecasting based on LSTM networks considering attention mechanism
International Journal of Electrical Power & Energy Systems, 2022Jun Lin, Jin Ma, Jianguo Zhu, Yu Cui
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Applications of random forest in multivariable response surface for short-term load forecasting
International Journal of Electrical Power & Energy Systems, 2022Guo-Feng Fan +4 more
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