SSA-LSTM: Short-Term Photovoltaic Power Prediction Based on Feature Matching

SSA-LSTM: Short-Term Photovoltaic Power Prediction Based on Feature Matching

To reduce the impact of volatility on photovoltaic (PV) power generation forecasting and achieve improved forecasting accuracy, this article provides an in-depth analysis of the characteristics of PV power outputs under typical weather conditions. The trend of PV power generation and the similarity...

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Bibliographic Details
Main Authors: Zhengwei Huang, Jin Huang, Jintao Min
Format: Article
Language:English
Published: MDPI AG 2022-10-01
Series:Energies
Subjects:
photovoltaic power forecast
grey relation analysis
singular spectrum analysis
long short-term memory network
feature matching
Online Access:https://www.mdpi.com/1996-1073/15/20/7806

Internet

https://www.mdpi.com/1996-1073/15/20/7806

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