Название: Applications of Big Data and Artificial Intelligence in Smart Energy Systems: Volume 2Автор: Neelu Nagpal, Hassan Haes Alhelou, Pierluigi Siano
Издательство: River Publishers
Год: 2023
Страниц: 250
Язык: английский
Формат: pdf (true)
Размер: 14.8 MB
In the era of propelling traditional energy systems to evolve towards smart energy systems, including power generation, energy storage systems, and electricity consumption have become more dynamic. The quality and reliability of power supply are impacted by the sporadic and rising use of electric vehicles, and domestic & industrial loads. Similarly, with the integration of solid state devices, renewable sources, and distributed generation, power generation processes are evolving in a variety of ways. Several cutting-edge technologies are necessary for the safe and secure operation of power systems in such a dynamic setting, including load distribution automation, energy regulation and control, and energy trading.
This book covers the applications of various big data analytics, artificial intelligence, and machine learning technologies in smart grids for demand prediction, decision-making processes, policy, and energy management. The book delves into the new technologies such as the Internet of Things, blockchain, etc. for smart home solutions, and smart city solutions in depth in the context of the modern power systems.
Artificial intelligence (AI) cutting-edge technologies have emerged as valuable tools in various fields. Artificial Intelligence (AI) applications in combustion research are gaining traction and are being used to speed up product development toward more environmentally friendly and efficient combustion systems. Despite tremendous advancements in advanced energy storage technology (AEST) in the last decade, particularly for large-scale energy storage, intelligent and efficient energy storage systems are in demand more than ever. Vast amounts of data about the performance and life of energy storage devices are becoming available, thanks to the advent of the Internet of Things (IoT). Big data and advances in artificial intelligence (AI) present significant potential for optimizing and increasing AEST performance and durability and inventing game-changing solutions. The primary goal of this chapter is to provide a platform for presenting the most recent breakthroughs in the use of artificial intelligence in energy storage systems, particularly large-scale energy storage systems.
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