Very-Short-Term Power Prediction for PV Power Plants Using a Simple and Effective RCC-LSTM Model Based on Short Term Multivariate Historical Datasets

Very-Short-Term Power Prediction for PV Power Plants Using a Simple and Effective RCC-LSTM Model Based on Short Term Multivariate Historical Datasets

Improving the accuracy of very-short-term (VST) photovoltaic (PV) power generation prediction can effectively enhance the quality of operational scheduling of PV power plants, and provide a reference for PV maintenance and emergency response. In this paper, the effects of different meteorological fa...

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Bibliographic Details
Main Authors: Biaowei Chen, Peijie Lin, Yunfeng Lai, Shuying Cheng, Zhicong Chen, Lijun Wu
Format: Article
Language:English
Published: MDPI AG 2020-02-01
Series:Electronics
Subjects:
photovoltaic power generation
long short-term memory
very short-term power prediction
similarity time period
Online Access:https://www.mdpi.com/2079-9292/9/2/289

Internet

https://www.mdpi.com/2079-9292/9/2/289

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