Short-Term Forecasting of Photovoltaic Solar Power Production Using Variational Auto-Encoder Driven Deep Learning Approach

The accurate modeling and forecasting of the power output of photovoltaic (PV) systems are critical to efficiently managing their integration in smart grids, delivery, and storage. This paper intends to provide efficient short-term forecasting of solar power production using Variational AutoEncoder...

Celý popis

Podrobná bibliografia

Vydané v:	Applied sciences Ročník 10; číslo 23; s. 8400
Hlavní autori:	Dairi, Abdelkader, Harrou, Fouzi, Sun, Ying, Khadraoui, Sofiane
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	MDPI AG 01.12.2020
Predmet:	data-driven deep learning photovoltaic power forecasting RNN variational autoencoders
ISSN:	2076-3417, 2076-3417
On-line prístup:	Získať plný text
Tagy:	Pridať tag Žiadne tagy, Buďte prvý, kto otaguje tento záznam!