• MOHD. MURTAJA
• NA

Site selection of Renewable energy sources is complex task due to its use in global economic and industrial growth in last two decade. To meet this demand, the various countries want to achieve a target to increase the share of renewable energy from 50% to 100 % of the total installed capacity. As per United Nation (UN) general assembly unanimously the decade of 2014 to 2024 is declared the, “Decade of Sustainable Energy for All”, namely to “ensure access to affordable, reliable, sustainable and modern energy for all”. In the context the current situation is very far from this and condition is not much favorable in this regard. Here we mentioned the various site selection factors for sustainable renewable energy, which are selected by the review of different literature based on the goal of sustainable development of renewable energy or hybrid renewable energy. The importance of Data science is increasing in every area of engineering and technology. So, we can use Artificial Intelligence (AI) with Multi Attribute Decision Making (MADM) and Institutive Fuzzy Set (IFS) techniques for site selection of renewable energy sources from an Indian perspective. This is the first study that use AI in Institutive Fuzzy Set (IFS) and Multi Attribute Decision Making (MADM) for Site selection of renewable energy sources. It is not favorable to take the more criteria for optimization of site selection. We select solar and wind energy sources among various renewable energy sources based on various study that choose the optimal site selection criteria among them. As per the analysis solar energy and wind power is optimal sources for renewable energy production and work as the central pillars for sustainable energy. This paper introduces a well-defined and efficient decision support system that introducing the choice of decision-makers for the means to enhance the evaluation process and make informed choices in the selection of optimal locations for renewable energy installations This approach allows to comprehensively and effectively assess and tackle the impending issues in the field of renewable energy. These techniques can use in site selection in other industry

Site Selection, A.I, MADM, Renewable Energy

"Optimal site selection of Renewable Energy sources using Multi Attribute Decision Making techniques in Artificial Intelligence Scenario ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 7, page no.f249-f256, July-2024, Available :http://www.jetir.org/papers/JETIR2407536.pdf

"Optimal site selection of Renewable Energy sources using Multi Attribute Decision Making techniques in Artificial Intelligence Scenario ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 7, page no. ppf249-f256, July-2024, Available at : http://www.jetir.org/papers/JETIR2407536.pdf