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

1
Department of Computer Engineering, Chung-Ang University, 84 Heukseok, Seoul 156-756, Korea
2
ICT and Society Research Group, Department of Information Technology, Durban University of Technology, Durban 4001, South Africa
*
Author to whom correspondence should be addressed.
Sustainability 2020, 12(20), 8495; https://doi.org/10.3390/su12208495
Received: 22 September 2020 / Accepted: 9 October 2020 / Published: 15 October 2020
(This article belongs to the Special Issue Human-Centric Urban Services)
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. View Full-Text
Keywords: smart energy management; sustainable energy; bio-inspired computing; evolutionary computing; swarm intelligence; internet of energy smart energy management; sustainable energy; bio-inspired computing; evolutionary computing; swarm intelligence; internet of energy
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MDPI and ACS Style

Nguyen, T.-H.; Nguyen, L.V.; Jung, J.J.; Agbehadji, I.E.; Frimpong, S.O.; Millham, R.C. Bio-Inspired Approaches for Smart Energy Management: State of the Art and Challenges. Sustainability 2020, 12, 8495. https://doi.org/10.3390/su12208495

AMA Style

Nguyen T-H, Nguyen LV, Jung JJ, Agbehadji IE, Frimpong SO, Millham RC. Bio-Inspired Approaches for Smart Energy Management: State of the Art and Challenges. Sustainability. 2020; 12(20):8495. https://doi.org/10.3390/su12208495

Chicago/Turabian Style

Nguyen, Tri-Hai, Luong V. Nguyen, Jason J. Jung, Israel E. Agbehadji, Samuel O. Frimpong, and Richard C. Millham 2020. "Bio-Inspired Approaches for Smart Energy Management: State of the Art and Challenges" Sustainability 12, no. 20: 8495. https://doi.org/10.3390/su12208495

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