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Refining Long Short-Term Memory Neural Network Input Parameters for Enhanced Solar Power Forecasting
Autor:
Linh Bui Duy, Ninh Nguyen Quang, Binh Doan Van, Eleonora Riva Sanseverino, Quynh Tran Thi Tu, Hang Le Thi Thuy, Sang Le Quang, Thinh Le Cong, Huyen Cu Thi Thanh
Publikováno v:
Energies, Vol 17, Iss 16, p 4174 (2024)
This article presents a research approach to enhancing the quality of short-term power output forecasting models for photovoltaic plants using a Long Short-Term Memory (LSTM) recurrent neural network. Typically, time-related indicators are used as in
Externí odkaz:
https://doaj.org/article/6ffdbaad961f4da8b0b7927ac06da4ca
