Bio-Inspired Approaches for Smart Energy Management: State of the Art and Challenges

Bio-Inspired Approaches for Smart Energy Management: State of the Art and Challenges

Sustainable energy development consists of design, planning, and control optimization problems that are typically complex and computationally challenging for traditional optimization approaches. However, with developments in artificial intelligence, bio-inspired algorithms mimicking the concepts of...

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Bibliographic Details
Main Authors: Tri-Hai Nguyen, Luong Vuong Nguyen, Jason J. Jung, Israel Edem Agbehadji, Samuel Ofori Frimpong, Richard C. Millham
Format: Article
Language:English
Published: MDPI AG 2020-10-01
Series:Sustainability
Subjects:
smart energy management
sustainable energy
bio-inspired computing
evolutionary computing
swarm intelligence
internet of energy
Online Access:https://www.mdpi.com/2071-1050/12/20/8495

Internet

https://www.mdpi.com/2071-1050/12/20/8495

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