Sarah El Himer (editor) - Artificial Intelligence of Things for Smart Green Energy Management (Studies in Systems, Decision and Control, 446)

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Energy is considered a very important ingredient in all human activities such as health, food production, education, industrial production, and transportation. Modern energy services are a powerful engine of economic and social development. In fact, no country has ever succeeded in developing well beyond a subsistence economy without ensuring a minimal access to energy services for a large part of its population. Green energy is defined as a primary energy source that produces a relatively small amount of pollutants when transformed into final energy and then used as such. Green energy is obtained from renewable sources such as sunlight, wind, biomass, and geothermal energy. They neither affect general health, nor pollute the environment, nor represent a burden on the environment. For this reason, green energy is the technology that will ensure a clean and healthy environment to the future generations.

For saving energy in buildings, vehicles, communication networks, and industries, it is important to develop efficient Energy Management Systems (EMS). Like energy production, energy saving is also equally important because the amount of energy saved can be considered as the amount of energy generated. Therefore, it is extremely important to save energy as much as possible in both consumer and industrial context scenarios.

With the advancements in technology, the green energy sector has made a significant progress in the last decade. However, there are still a few challenges in this sector that can be addressed with the help of emerging technologies. Technologies like Artificial Intelligence (AI) and Machine Learning (ML) can analyze the past, optimize the present, and predict the future. AI in the renewable and green energy sector can resolve most of the challenges these sectors are facing.

In order to produce low-cost, smart, and efficient solutions, advanced green energy management systems must use cutting-edge technologies such as artificial intelligence and the Internet of Things. On one hand, Artificial Intelligence helps the system to optimize power consumption, resulting in a more energy-efficient system; on the other hand, the Internet of Things allows the system to be wire-free and operate with more flexibility.

Intelligent solar energy systems, intelligent wind energy systems, and energy efficiency oriented research in intelligent electric cars are just a few of the subjects covered in this book. Artificial intelligence technologies such as artificial neural networks, genetic algorithms, fuzzy logic, and a mix of the aforementioned in hybrid systems are used in all of these disciplines and more. Energy management, equipment monitoring, security, fire management, life safety, and factory automation are some of the application options.

This book is intended to assist in the development of low-cost, smart, and efficient green energy solutions. We will also examine the problems that various nations have in these areas and provide solutions based on AI and IoT.

The first chapter of this book starts with an introduction to Artificial Intelligence and the Internet of Things and their role in renewable energy. The authors in chapter suggest a new approach to improve the LVRT capability of a wind turbine during a voltage sag in the electrical network.