Prediction of Energy Production Level in Large PV Plants through AUTO-Encoder Based Neural-Network (AUTO-NN) with Restricted Boltzmann Feature Extraction

In general, reliable PV generation prediction is required to increase complete control quality and avoid potential damage. Accurate forecasting of direct solar radiation trends in PV power production could limit the influence of uncertainties on photovoltaics, enhance organizational dependability, a...

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Veröffentlicht in:	Future internet Jg. 15; H. 2; S. 46
Hauptverfasser:	Ramesh, Ganapathy, Logeshwaran, Jaganathan, Kiruthiga, Thangavel, Lloret, Jaime
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Basel MDPI AG 01.01.2023
Schlagworte:	Algorithms Alternative energy sources Coders Construction Deep learning Distributed generation Electricity Electricity distribution Energy consumption Energy efficiency energy generation Energy management Energy resources Feature extraction Force and energy Green buildings Image retrieval Internet Machine learning Meteorological data neural network Neural networks Photovoltaic cells photovoltaic plants prediction Radiation Radiation damage Root-mean-square errors Solar energy Solar energy industry Solar radiation
ISSN:	1999-5903, 1999-5903
Online-Zugang:	Volltext
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