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Smart Energy and Electric Power Systems: Current Trends and New Intelligent Perspectives Sanjeevikumar Padmanaban
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Smart Energy and Electric Power Systems: Current Trends and New Intelligent Perspectives
Sanjeevikumar Padmanaban
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
| Medios de comunicación | Libros Paperback Book (Libro con tapa blanda y lomo encolado) |
| Publicado | 23 de septiembre de 2022 |
| ISBN13 | 9780323916646 |
| Editores | Elsevier - Health Sciences Division |
| Páginas | 226 |
| Dimensiones | 225 × 153 × 17 mm · 364 g |
| Lengua | Inglés |
| 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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