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Digital Age Applications of Multi-Criteria Decision-Making for Sustainability
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Author(s): Chandarani Kashinath Sutar (Rajarshi Rananjay Sinh Institute of Management and Technology, Amethi, India), Deependra Singh (Rajkiya Engineering College, Mainpuri, India), K. S. Verma (Rajkiya Engineering College, Mirzapur, India)and S. P. Singh (Rajkiya Engineering College, Ambedkar Nagar, India)
Copyright: 2026
Pages: 34
Source title:
Optimizing Automation in Engineering With Energy Systems and Communication Networks
Source Author(s)/Editor(s): Vipin Balyan (Cape Peninsula University of Technology, South Africa), Tarun Varshney (Sharda University, India), Sandeep Gupta (Graphic Era University, India)and Gunjan Gupta (Cape Peninsula University of Technology, South Africa)
DOI: 10.4018/979-8-3373-2737-2.ch008
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Abstract
Designing a sustainable electrification power grid for remote areas in developing countries is a significant challenge. Governments are increasingly prioritizing the energy sector by implementing new policies and green energy corridors. However, many studies on renewable and hybrid energy systems overlook crucial factors like technology, economical business survey, environment concern, and social (TEES) factors, which are vital for rural energy solutions. This chapter introduces a framework incorporating decision analysis, focusing on the availability of renewable local sources while in view of TEES aspects for power projects. Various energy alternatives are evaluated, and optimal combinations are assessed through decision analysis. A case study in Himachal Pradesh uses real meteorological data to verify and analyses the effectiveness of the proposed methodology. Conclusions shows that methodology, using Particle Swarm Optimization (PSO), leads to optimized energy systems with significant benefits, especially for power grid networks.
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