Quantitative assessment of sustainable renewable energy through soft computing: Fuzzy AHP-TOPSIS method

Quantitative assessment of sustainable renewable energy through soft computing: Fuzzy AHP-TOPSIS method

Green energy resources need to be mobilized at an imminent pace to fulfill the world’s energy requirements that are both sustainable and cost-effective. Utilizing soft computing for generating sustainable power effectively eliminates additional requirements and costs. The selection procedure of Fuzz...

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Bibliographic Details
Main Author:	Mohammed Alghassab
Format:	Article
Language:	English
Published:	Elsevier 2022-11-01
Series:	Energy Reports
Subjects:	FAHP FTOPSIS Renewable energy Sustainability Machine Learning Artificial Intelligence
Online Access:	http://www.sciencedirect.com/science/article/pii/S2352484722017735

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