Application of parallel Elman neural network to hourly area solar PV plant generation estimation

Summary Based on existing power generation data, an hourly area solar power estimation model using the parallel Elman neural network with solar radiation and system conversion efficiency is proposed. The accuracy and reliability of the assessment were verified using the information/data of solar pho...

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Veröffentlicht in:	International transactions on electrical energy systems 2020-08, Vol.30 (8), p.n/a
Hauptverfasser:	Cho, Ming‐Yuan, Chang, Jyh‐Ming, Huang, Chih‐Chun
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Electric power generation Electricity inverse distance weighting K‐means Neural networks parallel Elman neural network Photovoltaic cells Photovoltaics Power plants Reliability analysis Solar energy solar irradiance Solar power Solar power generation solar PV estimation Solar radiation system conversion efficiency
Online-Zugang:	Volltext
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