Prediction of a Grid-Connected Photovoltaic Park’s Output with Artificial Neural Networks Trained by Actual Performance Data

Prediction of a Grid-Connected Photovoltaic Park’s Output with Artificial Neural Networks Trained by Actual Performance Data

Increased penetration of grid-connected PV systems in modern electricity networks induces uncertainty factors to be considered from several different viewpoints, including the system’s protection and management. Accurate short-term prediction of a grid-connected PV park’s output is essential for opt...

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Bibliographic Details
Main Authors: Elias Roumpakias, Tassos Stamatelos
Format: Article
Language:English
Published: MDPI AG 2022-06-01
Series:Applied Sciences
Subjects:
photovoltaics
air mass
forecasting
neural networks
Online Access:https://www.mdpi.com/2076-3417/12/13/6458

Internet

https://www.mdpi.com/2076-3417/12/13/6458

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