{"product_id":"artificial-intelligence-empowered-smart-energy-systems-isbn-9781394253616","title":"Artificial Intelligence Empowered Smart Energy Systems","description":"\u003cp\u003e\u003cb\u003eAn illuminating and up-to-date exploration of the latest advances in AI-empowered smart energy systems\u003c\/b\u003e \u003c\/p\u003e\u003cp\u003eIn \u003ci\u003eArtificial Intelligence Empowered Smart Energy Systems,\u003c\/i\u003e the editors along with a team of distinguished researchers deliver an original and comprehensive discussion of artificial intelligence enabled smart energy systems. The book offers a deep dive into AI's integration with energy, examining critical topics like renewable energy forecasting, load monitoring, fault diagnosis, resilience-oriented optimization, and efficiency-driven control. \u003c\/p\u003e\u003cp\u003eThe contributors discuss the real-world applications of AI in smart energy systems, showing you AI's transformative effects on energy landscapes. It provides practical solutions and strategies to address complicated problems in energy systems. \u003c\/p\u003e\u003cp\u003eThe book also includes: \u003c\/p\u003e\u003cul\u003e \u003cli\u003eA thorough introduction to cybersecurity, privacy, and virtual power plants\u003c\/li\u003e \u003cli\u003eComprehensive demonstrations of the effective leveraging of AI technologies in energy systems\u003c\/li\u003e \u003cli\u003ePractical discussions of the potential of AI to create sustainable, efficient, and resilient energy systems\u003c\/li\u003e \u003cli\u003eDetailed case studies and real-world examples of AI's implementation in smart energy systems\u003c\/li\u003e \u003c\/ul\u003e \u003cp\u003ePerfect for researchers, data scientists, and policymakers, \u003ci\u003eArtificial Intelligence Empowered Smart Energy Systems\u003c\/i\u003e will also benefit graduate and senior undergraduate students in both the tech and energy industries.  \u003c\/p\u003e\u003cp\u003e\u003cb\u003eQiang Yang, PhD,\u003c\/b\u003e is a Full Professor at the College of Electrical Engineering at Zhejiang University, China. He is a Senior Member of the IEEE and a Distinguished Member of the China Computer Federation. His primary research interests include smart energy systems, learning-based optimization and control. \u003c\/p\u003e\u003cp\u003e\u003cb\u003eGang Huang, PhD,\u003c\/b\u003e is an Assistant Professor at the College of Electrical Engineering at Zhejiang University, China. He is a Senior Member of the IEEE and a Senior Member of the China Computer Federation. His primary research interests include artificial intelligence for power and energy systems.\u003c\/p\u003e","brand":"Wiley-IEEE Press","offers":[{"title":"Default Title","offer_id":47988764803301,"sku":"NP9781394253616","price":140.0,"currency_code":"USD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/1842\/7735\/files\/9781394253616.jpg?v=1761781503","url":"https:\/\/k12savings.com\/products\/artificial-intelligence-empowered-smart-energy-systems-isbn-9781394253616","provider":"K12savings","version":"1.0","type":"link"}