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Review on recent implementations of multiobjective and multilevel optimization in sustainable energy economics

Journal
Advances of Artificial Intelligence in a Green Energy Environment
Date Issued
2022
Author(s)
Ganesan, Timothy
Litvinchev, Igor
Marmolejo Saucedo, José Antonio
Thomas, J. Joshua
Vasant, Pandian
Type
Resource Types::text::book::book part
DOI
10.1016/B978-0-323-89785-3.00013-X
URL
https://scripta.up.edu.mx/handle/20.500.12552/4209
Abstract
Rapid progress is currently being made globally in the sustainable energy industry. This trend has been seen to concentrate on specific focus areas in the global energy ecosystem. The integration of sustainability ideas into the existing energy ecosystem has given rise to various complexities, e.g., multilevel and multiobjective (MO) scenarios. This in return has generated various avenues for the implementation of mathematical optimization as well as state-of-the-art operations research methodologies on such real-world systems. This chapter aims to provide a concise review on recent implementations of MO and multilevel optimization on sustainable energy economic systems. Three key industrial areas are given emphasis—economic load/emission dispatch, bioenergy supply chains, and sustainable capacity planning. © 2022 Elsevier Inc. All rights reserved.
Subjects

Industrial optimizati...

Multilevel

Multiobjective

Optimization

Real world

Sustainable energy ec...

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