Abstract
This introductory chapter presents the motivation, impact, and challenges of energy production and consumption within the context of energy transition. It focuses on the use of artificial intelligence (AI) techniques and tools in order to address these challenges allowing to enhance the energy efficiency of traditional/renewable power generators through user participation, to facilitate the penetration (integration) of distributed/centralized renewable energy systems into electric grids, to reduce the peak load by the use of efficient demand-response strategies, to balance and optimize generation and consumption, to reinforce the grid protection (grid resilience, fault diagnosis and prognosis, grid self-healing and recovery, etc.) as well as cyber security and privacy issues, etc. This book gathers advanced methods and tools based on the use of AI techniques in order to address these challenges. These methods and tools are divided into three main parts: AI for smart energy management, AI for reliable smart power systems, and AI for control of smart appliances and power systems.
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Sayed-Mouchaweh, M. (2020). Prologue: Artificial Intelligence for Energy Transition. In: Sayed-Mouchaweh, M. (eds) Artificial Intelligence Techniques for a Scalable Energy Transition. Springer, Cham. https://doi.org/10.1007/978-3-030-42726-9_1
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DOI: https://doi.org/10.1007/978-3-030-42726-9_1
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