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

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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Bibliographic Details
Main Authors: Xue-Bo Jin, Wei-Zhen Zheng, Jian-Lei Kong, Xiao-Yi Wang, Yu-Ting Bai, Ting-Li Su, Seng Lin
Format: Article
Language:English
Published: MDPI AG 2021-03-01
Series:Energies
Subjects:
electric power load prediction
deep-learning encoder-decoder framework
gated recurrent neural units
temporal attention
Bayesian optimization
Online Access:https://www.mdpi.com/1996-1073/14/6/1596

Internet

https://www.mdpi.com/1996-1073/14/6/1596

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