Short-term PV power prediction based on meteorological similarity days and SSA-BiLSTM

Short-term PV power prediction based on meteorological similarity days and SSA-BiLSTM

Accurate short-term photovoltaic (PV) power forecasting can reduce the un- certainty of PV power generation, which is crucial for grid operation as well as energy dispatch. Considering the influence of seasonal and meteorological factors on short-term PV power prediction, a short-term PV power predi...

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Bibliographic Details
Main Authors: Yikang Li, Wei Huang, Keying Lou, Xizheng Zhang, Qin Wan
Format: Article
Language:English
Published: Elsevier 2024-12-01
Series:Systems and Soft Computing
Subjects:
Short-term PV power forecasting
Fuzzy C-means clustering
Seasonal features
SSA-BiLSTM
Online Access:http://www.sciencedirect.com/science/article/pii/S2772941924000139

Internet

http://www.sciencedirect.com/science/article/pii/S2772941924000139

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