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

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...

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Bibliographic Details
Main Authors: Abdelkader Dairi, Fouzi Harrou, Ying Sun, Sofiane Khadraoui
Format: Article
Language:English
Published: MDPI AG 2020-11-01
Series:Applied Sciences
Subjects:
photovoltaic power forecasting
data-driven
deep learning
variational autoencoders
RNN
Online Access:https://www.mdpi.com/2076-3417/10/23/8400

Internet

https://www.mdpi.com/2076-3417/10/23/8400

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