Neural network-based modelling of wind/solar farm siting: a case study of East-Azerbaijan

The location of wind/solar power plants is a critical part of design process. Multi-criteria decision making (MCDM), the well-known procedure of site selection, suffers from the local-scoring property. This paper proposes a combined approach of MCDM and artificial neural networks (ANN) to alleviate...

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Autores principales:	Meysam Asadi, Kazem Pourhossein
Formato:	Artigo
Lenguaje:	Inglês
Publicado:	Taylor & Francis Group 2021-08-01
Colección:	International Journal of Sustainable Energy
Materias:	wind/solar farm site selection multi-layer perceptron (mlp) analytic hierarchy process (ahp) geographical information system (gis)
Acceso en línea:	http://dx.doi.org/10.1080/14786451.2020.1833881
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