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

Tri-Hai Nguyen, Luong Vuong Nguyen, Jason J. Jung, Israel Edem Agbehadji, Samuel Ofori Frimpong and Richard C. Millham
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Tri-Hai Nguyen: Department of Computer Engineering, Chung-Ang University, 84 Heukseok, Seoul 156-756, Korea
Luong Vuong Nguyen: Department of Computer Engineering, Chung-Ang University, 84 Heukseok, Seoul 156-756, Korea
Jason J. Jung: Department of Computer Engineering, Chung-Ang University, 84 Heukseok, Seoul 156-756, Korea
Israel Edem Agbehadji: ICT and Society Research Group, Department of Information Technology, Durban University of Technology, Durban 4001, South Africa
Samuel Ofori Frimpong: ICT and Society Research Group, Department of Information Technology, Durban University of Technology, Durban 4001, South Africa
Richard C. Millham: ICT and Society Research Group, Department of Information Technology, Durban University of Technology, Durban 4001, South Africa

Sustainability, 2020, vol. 12, issue 20, 1-24

Abstract: 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 biological evolution in nature and collective behaviors in societies of agents have recently become popular and shown potential success for these issues. Therefore, we investigate the latest research on bio-inspired approaches for smart energy management systems in smart homes, smart buildings, and smart grids in this paper. In particular, we give an overview of the well-known and emerging bio-inspired algorithms, including evolutionary-based and swarm-based optimization methods. Then, state-of-the-art studies using bio-inspired techniques for smart energy management systems are presented. Lastly, open challenges and future directions are also addressed to improve research in this field.

Keywords: smart energy management; sustainable energy; bio-inspired computing; evolutionary computing; swarm intelligence; internet of energy (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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