Smart Energy and Electric Power Systems: Current Trends and New Intelligent Perspectives - Sanjeevikumar Padmanaban - Books - Elsevier - Health Sciences Division - 9780323916646 - September 23, 2022
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Smart Energy and Electric Power Systems: Current Trends and New Intelligent Perspectives

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Smart Energy and Electric Power Systems reviews key applications of intelligent algorithms and machine learning techniques to increasingly complex and data-driven power systems with distributed energy resources to enable evidence-driven decision-making and mitigate catastrophic power shortages. The book reviews foundations towards the integration of machine learning and smart power systems before addressing key challenges and issues. The work then explores AI- and ML-informed techniques to rebalancing of supply and demand. Methods discussed include distributed energy resources and prosumer markets, electricity demand prediction, component fault detection, and load balancing.

Security solutions are introduced, along with potential solutions to cyberattacks, security data detection and critical loads in power systems. The work closes with a lengthy discussion, informed by case studies, on integrating AI and ML into the modern energy sector.


296 pages, Approx. 100 illustrations; Illustrations, unspecified

Media Books     Paperback Book   (Book with soft cover and glued back)
Released September 23, 2022
ISBN13 9780323916646
Publishers Elsevier - Health Sciences Division
Pages 226
Dimensions 225 × 153 × 17 mm   ·   364 g
Language English  
Editor Balusamy, Balamurugan, PhD (Shiv Nadar University, Delhi-NCR, India)
Editor Dhanaraj, Rajesh Kumar, PhD (Professor, Symbiosis International (Deemed University), Pune, India)
Editor Holm-Nielsen, Jens Bo (Associate Professor and Head, Center for Bioenergy and Green Engineering, Aalborg University, Aalborg, Denmark)
Editor Padmanaban, Sanjeevikumar (Department of Electrical Engineering, Information Technology, and Cybernetics, University of South-Eastern Norway, Norway)
Editor Padmanandam, Kayal (Associate Professor, Department of Information Technology and Member of the Research and Development Cell, BVRITH College of Engineering, Hyderabad, India)

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