Distributed photovoltaic power prediction considering spatiotemporal correlation and dual Attention-LSTM

Zhang, Yueyuan and Zhang, Yifan and Pan, Dazhi and Sun, Mingyu and Mei, Huawei and Cao, Wangbin (2025) Distributed photovoltaic power prediction considering spatiotemporal correlation and dual Attention-LSTM. EAI Endorsed Transactions on Energy Web.

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Abstract

Predicting the power output of photovoltaic clusters is crucial for optimizing regional solar power scheduling. To enhance the accuracy of distributed photovoltaic station power forecasts, a method incorporating spatiotemporal correlation and dual Attention-LSTM is introduced. The K-means algorithm

Item Type: Article
Date Deposited: 04 Mar 2026 20:16
Last Modified: 16 Apr 2026 16:01
URI: http://eprints.eai.eu/id/eprint/59989

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