Applications of Machine Learning Algorithms in Renewable Energies
LSTM and XGBoost Models for 24-hour Ahead Forecast of PV Power from Direct Irradiation

Kossoko Babatoundé Audace Didavi; Richard Gilles Agbokpanzo; Bienvenu Macaire Agbomahena

Volume 5, Issue 2 , July 2024, , Pages 229-241

  In this work, the photovoltaic power forecast for the next 24 hours by combining a time series forecasting model (LSTM) and a regression model (XGBoost) from direct irradiation only is performed. Several meteorological parameters such as irradiance, ambient temperature, wind speed, relative humidity, ...  Read More