A Predictive Model for Solar Photovoltaic Power using the Levenberg-Marquardt and Bayesian Regularization Algorithms and Real-Time Weather Data

The stability of power production in photovoltaics (PV) power plants is an important issue for large-scale gridconnected systems. This is because it affects the control and operation of the electrical grid. An efficient forecasting model is proposed in this paper to predict the next-day solar photov...

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Veröffentlicht in:	International journal of advanced computer science & applications Jg. 9; H. 1
Hauptverfasser:	H., Mohammad, Younis, Ola, M., Sofyan
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	West Yorkshire Science and Information (SAI) Organization Limited 2018
Schlagworte:	Algorithms Bayesian analysis Colleges & universities Configuration management Forecasting Irradiance Machine learning Mathematical models Meteorological data Neural networks Photovoltaic cells Power plants Prediction models Real time Regularization Root-mean-square errors Time measurement Weather stations
ISSN:	2158-107X, 2156-5570
Online-Zugang:	Volltext
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