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Feasibility of Black-Box Time Domain Modeling of Single-Phase Photovoltaic Inverters Using Artificial Neural Networks

This paper introduces a new black-box approach for time domain modeling of commercially available single-phase photovoltaic (PV) inverters in low voltage networks. An artificial neural network is used as a nonlinear autoregressive exogenous model to represent the steady state behavior as well as dyn...

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書誌詳細
主要な著者: Elias Kaufhold, Simon Grandl, Jan Meyer, Peter Schegner
フォーマット: Artigo
言語:Inglês
出版事項: MDPI AG 2021-04-01
シリーズ:Energies
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オンライン・アクセス:https://www.mdpi.com/1996-1073/14/8/2118
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