Photovoltaic Solar Power Prediction Using iPSO-Based Data Clustering and AdaLSTM Network

Photovoltaic Solar Power Prediction Using iPSO-Based Data Clustering and AdaLSTM Network

Due to the increasing integration of photovoltaic (PV) solar power into power systems, the prediction of PV solar power output plays an important role in power system planning and management. This study combines an optimized data clustering method with a serially integrated AdaLSTM network to improv...

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Bibliographic Details
Main Authors: Jincun Liu, Kangji Li, Wenping Xue
Format: Article
Language:English
Published: MDPI AG 2024-03-01
Series:Energies
Subjects:
photovoltaic solar power prediction
data clustering
AdaLSTM
improved PSO
prediction accuracy
Online Access:https://www.mdpi.com/1996-1073/17/7/1624

Internet

https://www.mdpi.com/1996-1073/17/7/1624

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