Wind-Driven Optimization Technique for Estimation of Solar Photovoltaic Parameters

By Derick Mathew, C. Rani, M. Rajesh Kumar, Yue Wang, Richard Binns, Krishna K. Busawon. IEEE Journal of Photovoltaics, 2018

92 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Renewable Energy, Sustainability and the Environment

View Paper: https://www.semanticscholar.org/paper/0e5d4b0ed994ef017f527a7d1036a6eaee9d6ece

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Fabrício Bradaschia
2. Marcelo Cabral Cavalcanti

In Renewable Energy, Sustainability and the Environment

1. Fabrício Bradaschia
2. Marcelo Cabral Cavalcanti

Citations in the corpus

• Parameter Identification for PV Modules Based on an Environment-Dependent Double-Diode Model (2019, methodology): “A comparison between the proposed adaptive model with HPS1 parameter estimation technique and the adaptive model proposed in [22] with its parameter estimation technique is carried out to prove the high accuracy extrapolation capability of the proposed model.”