Ultra-Short-Term Wind Power Prediction Based on LSTM with Loss Shrinkage Adam

With the rapid increase in wind power, its strong randomness has brought great challenges to power system operation. Accurate and timely ultra-short-term wind power prediction is essential for the stable operation of power systems. In this paper, an LsAdam–LSTM model is proposed for ultra-short-term...

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Bibliographic Details
Main Authors: Jingtao Huang, Gang Niu, Haiping Guan, Shuzhong Song
Format: Article
Language:English
Published: MDPI AG 2023-04-01
Series:Energies
Subjects:
Online Access:https://www.mdpi.com/1996-1073/16/9/3789