PV Power Short-Term Forecasting Method Based on VMD-GWO-ELMAN

PV Power Short-Term Forecasting Method Based on VMD-GWO-ELMAN

This paper aims to further improve the accuracy and reliability of short-term photovoltaic (PV) output power forecasting. Considering the blindness and randomness of weights and thresholds of traditional Elman neural networks and the fluctuation and nonstationarity of PV output power signal, the pap...

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Bibliographic Details
Main Authors: Na ZHANG, Qiang REN, Guangchen LIU, Liping GUO, Jingyu LI
Format: Article
Language:zho
Published: State Grid Energy Research Institute 2022-05-01
Series:Zhongguo dianli
Subjects:
k-means cluster
variational mode decomposition
grey wolf optimization algorithm
elman neural network
short-term pv power forecasting
Online Access:https://www.electricpower.com.cn/CN/10.11930/j.issn.1004-9649.202104033
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https://www.electricpower.com.cn/CN/10.11930/j.issn.1004-9649.202104033

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