A comparative study based on the Genetic Algorithm (GA) method for the optimal sizing of the standalone photovoltaic system in the Ngoundiane site

Sadio, A. and Mbodji, S. and Fall, I. and Sow, P. (2018) A comparative study based on the Genetic Algorithm (GA) method for the optimal sizing of the standalone photovoltaic system in the Ngoundiane site. EAI Endorsed Transactions on Energy Web.

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Abstract

We study a sizing method using Artificial Intelligence Techniques (AI) to find the optimal sizes of a standalone photovoltaic system in Ngoundiane, Senegal. The sizing of the PV system is considered here as a mono-objective problem and the Total Life Cycle Cost (TLCC) is the « Objective » function t

Item Type: Article
Date Deposited: 04 Mar 2026 11:39
Last Modified: 12 Apr 2026 06:47
URI: http://eprints.eai.eu/id/eprint/20184

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