Day-Ahead Wind Power Forecasting Based on Wind Load Data Using Hybrid Optimization Algorithm

Day-Ahead Wind Power Forecasting Based on Wind Load Data Using Hybrid Optimization Algorithm

Accurate wind power forecasting is essential to reduce the negative impact of wind power on the operation of the grid and the operation cost of the power system. Day-ahead wind power forecasting plays an important role in the day-ahead electricity spot trading market. However, the instability of the...

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Bibliographic Details
Main Authors: Guangyu Qin, Qingyou Yan, Jingyao Zhu, Chuanbo Xu, Daniel M. Kammen
Format: Article
Language:English
Published: MDPI AG 2021-01-01
Series:Sustainability
Subjects:
wind power forecast
variational mode decomposition
maximum relevance &amp
amp
minimum redundancy algorithm
long short-term memory neural network
Online Access:https://www.mdpi.com/2071-1050/13/3/1164

Internet

https://www.mdpi.com/2071-1050/13/3/1164

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