Ade Gafar Abdullah, Nanda Fauziah, Dadang Lukman Hakim, Nanin Trianawati Sugito, Wildan Arasid
Selecting a renewable and green energy in power plant is inevitable; however, in an attempt to find the best site, there are a variety of criteria to select. This study aims to find the most effective and recommended Wind Power Plant (WPP) site in Indonesia utilizing an artificial intelligence (AI) – based multi-criteria decision making (MCDM) namely Fuzzy-TOPSIS Method. In terms of research procedure employing the combination of analytical hierarchy process (AHP) and fuzzy-TOPSIS method, this study started with determination of sub-criteria to be used from relevant literature to assessment of criteria consistency through pairwise comparison. The results showed that through a combination of both AHP and fuzzy-TOPSIS methods, there are 10 important criteria to be considered for selecting the most effective WPP site. It is also implied that the sequentially ordered criteria based on priorities have revealed at least two sites of the WPP. © School of Engineering, Taylor’s University.
Program Studi Teknik Elektro, Universitas Pendidikan Indonesia, Jl. Dr. Setiabudi no 229, Bandung, 40154, Indonesia; Program Studi Survey Pemetaan dan Informasi Geografis, Universitas Pendidikan Indonesia, Jl. Dr. Setiabudi no 229, Bandung, 40154, Indonesia; Departemen Teknik Elektro, Institut Teknologi Bandung, Jl. Ganesa No.10, Kota Bandung, 40132, Indonesia; Departemen Riset dan Pengembangan, RPI Institute, Jl. Chrysant no 37, Bandung, 40154, Indonesia
Research at a Glance
Register to unlockTopics & SDG Alignment
Register to unlockCollaboration
Register to unlockAuthor Profile (Selected)
Register to unlockReferences Overview
Register to unlockJournal & Source
Register to unlockMetadata & Integrity
Register to unlock