Deep-Learning Forecasting Method for Electric Power Load via Attention-Based Encoder-Decoder with Bayesian Optimization

Short-term electrical load forecasting plays an important role in the safety, stability, and sustainability of the power production and scheduling process. An accurate prediction of power load can provide a reliable decision for power system management. To solve the limitation of the existing load f...

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Vydané v:	Energies (Basel) Ročník 14; číslo 6; s. 1596
Hlavní autori:	Jin, Xue-Bo, Zheng, Wei-Zhen, Kong, Jian-Lei, Wang, Xiao-Yi, Bai, Yu-Ting, Su, Ting-Li, Lin, Seng
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	MDPI AG 01.03.2021
Predmet:	Bayesian optimization deep-learning encoder-decoder framework electric power load prediction gated recurrent neural units temporal attention
ISSN:	1996-1073, 1996-1073
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