Novel Multi-Time Scale Deep Learning Algorithm for Solar Irradiance Forecasting

Novel Multi-Time Scale Deep Learning Algorithm for Solar Irradiance Forecasting

Solar irradiance forecasting is an inevitable and most significant process in grid-connected photovoltaic systems. Solar power is highly non-linear, and thus to manage the grid operation efficiently, with irradiance forecasting for various timescales, such as an hour ahead, a day ahead, and a week a...

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Bibliographic Details
Main Authors: N. Yogambal Jayalakshmi, R. Shankar, Umashankar Subramaniam, I. Baranilingesan, Alagar Karthick, Balasubramaniam Stalin, Robbi Rahim, Aritra Ghosh
Format: Article
Language:English
Published: MDPI AG 2021-04-01
Series:Energies
Subjects:
solar irradiance forecasting
multi-task learning
multi-time scale prediction
LSTM
hybrid CSO-GWO
Online Access:https://www.mdpi.com/1996-1073/14/9/2404

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https://www.mdpi.com/1996-1073/14/9/2404

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