Refining Long Short-Term Memory Neural Network Input Parameters for Enhanced Solar Power Forecasting

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 inputs for forecasting models of PV generators. Howe...

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Bibliographic Details

Published in:	Energies
Main Authors:	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
Format:	Article
Language:	English
Published:	MDPI AG 2024-08-01
Subjects:	long short-term memory clear sky irradiance large-scale photovoltaic power plant forecasting PV power PV power plant artificial intelligence
Online Access:	https://www.mdpi.com/1996-1073/17/16/4174