Photovoltaic yield prediction using an irradiance forecast model based on multiple neural networks

Photovoltaic yield prediction using an irradiance forecast model based on multiple neural networks

Abstract In order to develop predictive control algorithms for efficient energy management and monitoring for residential grid connected photovoltaic systems, accurate and reliable photovoltaic (PV) power forecasts are required. A PV yield prediction system is presented based on an irradiance foreca...

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Bibliographic Details
Main Authors: Saad Parvaiz DURRANI, Stefan BALLUFF, Lukas WURZER, Stefan KRAUTER
Format: Article
Language:English
Published: IEEE 2018-03-01
Series:Journal of Modern Power Systems and Clean Energy
Subjects:
Grid connected photovoltaic (GCPV)
Photovoltaic (PV)
PV power prediction
Irradiance forecast
Neural network (NN)
Online Access:http://link.springer.com/article/10.1007/s40565-018-0393-5

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http://link.springer.com/article/10.1007/s40565-018-0393-5

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