Applications of Big Data and Artificial Intelligence in Smart Energy Systems - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Applications of Big Data and Artificial Intelligence in Smart Energy Systems write by Neelu Nagpal. This book was released on 2023-11-23. Applications of Big Data and Artificial Intelligence in Smart Energy Systems available in PDF, EPUB and Kindle. 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. Technical topics discussed in the book include: • Hybrid smart energy system technologies • Energy demand forecasting • Use of different protocols and communication in smart energy systems • Power quality and allied issues and mitigation using AI • Intelligent transportation • Virtual power plants • AI business models.
Applications of AI and IOT in Renewable Energy
Applications of AI and IOT in Renewable Energy - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Applications of AI and IOT in Renewable Energy write by Rabindra Nath Shaw. This book was released on 2022-02-09. Applications of AI and IOT in Renewable Energy available in PDF, EPUB and Kindle. Applications of AI and IOT in Renewable Energy provides a future vision of unexplored areas and applications for Artificial Intelligence and Internet of Things in sustainable energy systems. The ideas presented in this book are backed up by original, unpublished technical research results covering topics like smart solar energy systems, intelligent dc motors and energy efficiency study of electric vehicles. In all these areas and more, applications of artificial intelligence methods, including artificial neural networks, genetic algorithms, fuzzy logic and a combination of the above in hybrid systems are included. This book is designed to assist with developing low cost, smart and efficient solutions for renewable energy systems and is intended for researchers, academics and industrial communities engaged in the study and performance prediction of renewable energy systems. - Includes future applications of AI and IOT in renewable energy - Based on case studies to give each chapter real-life context - Provides advances in renewable energy using AI and IOT with technical detail and data
Applications of Big Data and Artificial Intelligence in Smart Energy Systems
Applications of Big Data and Artificial Intelligence in Smart Energy Systems - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Applications of Big Data and Artificial Intelligence in Smart Energy Systems write by Neetika Kaushal Nagpal. This book was released on 2023. Applications of Big Data and Artificial Intelligence in Smart Energy Systems available in PDF, EPUB and Kindle. In the era of propelling traditional energy systems to evolve towards smart energy systems, 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 and 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. Technical topics discussed in the book include: • Hybrid smart energy system technologies • Energy demand forecasting • Use of different protocols and communication in smart energy systems • Power quality and allied issues and mitigation using AI • Intelligent transportation • Virtual power plants • AI business models.
Applications of Big Data and Artificial Intelligence in Smart Energy Systems
Applications of Big Data and Artificial Intelligence in Smart Energy Systems - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Applications of Big Data and Artificial Intelligence in Smart Energy Systems write by Neelu Nagpal. This book was released on 2023-09-29. Applications of Big Data and Artificial Intelligence in Smart Energy Systems available in PDF, EPUB and Kindle. 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, domestic loads, and 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 & 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 for modern power systems such as the Internet of Things, Blockchain for smart home and smart city solutions in depth. Technical topics discussed in the book include: • Hybrid smart energy system technologies • Smart meters • Energy demand forecasting • Use of different protocols and communication in smart energy systems • Power quality and allied issues and mitigation using AI • Intelligent transportation • Virtual power plants • AI based smart energy business models • Smart home solutions • Blockchain solutions for smart grids.
Artificial Intelligence Techniques for a Scalable Energy Transition
Artificial Intelligence Techniques for a Scalable Energy Transition - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Artificial Intelligence Techniques for a Scalable Energy Transition write by Moamar Sayed-Mouchaweh. This book was released on 2021-06-21. Artificial Intelligence Techniques for a Scalable Energy Transition available in PDF, EPUB and Kindle. This book presents research in artificial techniques using intelligence for energy transition, outlining several applications including production systems, energy production, energy distribution, energy management, renewable energy production, cyber security, industry 4.0 and internet of things etc. The book goes beyond standard application by placing a specific focus on the use of AI techniques to address the challenges related to the different applications and topics of energy transition. The contributions are classified according to the market and actor interactions (service providers, manufacturers, customers, integrators, utilities etc.), to the SG architecture model (physical layer, infrastructure layer, and business layer), to the digital twin of SG (business model, operational model, fault/transient model, and asset model), and to the application domain (demand side management, load monitoring, micro grids, energy consulting (residents, utilities), energy saving, dynamic pricing revenue management and smart meters, etc.).
