Forecasting Solar PV Output Using Convolutional Neural Networks with a Sliding Window Algorithm

Forecasting Solar PV Output Using Convolutional Neural Networks with a Sliding Window Algorithm

The stochastic nature of renewable energy sources, especially solar PV output, has created uncertainties for the power sector. It threatens the stability of the power system and results in an inability to match power consumption and production. This paper presents a Convolutional Neural Network (CNN...

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Bibliographic Details
Main Authors: Vishnu Suresh, Przemyslaw Janik, Jacek Rezmer, Zbigniew Leonowicz
Format: Article
Language:English
Published: MDPI AG 2020-02-01
Series:Energies
Subjects:
convolutional neural networks
multi-headed cnn
cnn-lstm
forecasting
solar output
sliding window
renewable energy
Online Access:https://www.mdpi.com/1996-1073/13/3/723

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https://www.mdpi.com/1996-1073/13/3/723

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