Artificial Intelligence And Heuristics For Smart Energy Efficiency In Smart Cities


Download Artificial Intelligence And Heuristics For Smart Energy Efficiency In Smart Cities PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Artificial Intelligence And Heuristics For Smart Energy Efficiency In Smart Cities book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages.

Download

Artificial Intelligence and Heuristics for Smart Energy Efficiency in Smart Cities


Artificial Intelligence and Heuristics for Smart Energy Efficiency in Smart Cities

Author: Mustapha Hatti

language: en

Publisher: Springer Nature

Release Date: 2021-11-24


DOWNLOAD





This book emphasizes the role of micro-grid systems and connected networks for the strategic storage of energy through the use of information and communication techniques, big data, the cloud, and meta-heuristics to support the greed for artificial intelligence techniques in data and the implementation of global strategies to meet the challenges of the city in the broad sense. The intelligent management of renewable energy in the context of the energy transition requires the use of techniques and tools based on artificial intelligence (AI) to overcome the challenges of the intermittence of resources and the cost of energy. The advent of the smart city makes an increased call for the integration of artificial intelligence and heuristics to meet the challenge of the increasing migration of populations to the city, in order to ensure food, energy, and environmental security of the citizen of the city and his well-being. This book is intended for policymakers, academics, practitioners, and students. Several real cases are exposed throughout the book to illustrate the concepts and methods of the networks and systems presented. This book proposes the development of new technological innovations—mainly ICT—the concept of “Smart City” appears as a means of achieving more efficient and sustainable cities. The overall goal of the book is to develop a comprehensive framework to help public and private stakeholders make informed decisions on smart city investment strategies and develop skills for assessment and prioritization, including resolution of difficulties with deployment and reproducibility.

Proceedings of 4th International Conference on Artificial Intelligence and Smart Energy


Proceedings of 4th International Conference on Artificial Intelligence and Smart Energy

Author: S. Manoharan

language: en

Publisher: Springer Nature

Release Date: 2024-06-07


DOWNLOAD





This book presents a comprehensive collection of research chapters focusing on innovative solutions to energy and sustainability challenges. It reflects the collaborative efforts of researchers worldwide, showcasing novel approaches to complex problems. Topics discussed range from securing cyber-physical systems to revolutionizing healthcare with AI and robotics, emphasizing sustainable research. The book emphasizes smart and sustainable energy solutions, highlighting advancements in solar panel efficiency, fault analysis, and fuzzy-controlled converters for grid-tied photovoltaic systems. Additionally, it explores AI's transformative potential in water solutions, agriculture, and renewable energy technologies across domains like smart cities, transportation, and healthcare. The insights shared aim to inspire further research, foster discussions, and drive real-world impact toward a resilient, inclusive, and sustainable future. · Discusses issues and offers sustainable solutions to meet the challenges faced by today's economy and industry. · Presents recent research in the sustainable transformation of engineering and technological systems. · Serves as a valuable resource for both academic researchers and industry practitioners interested in Artificial Intelligence (AI) and smart energy sectors.

Smart Computing and Control Renewable Energy Systems


Smart Computing and Control Renewable Energy Systems

Author: Mustapha Hatti

language: en

Publisher: Springer Nature

Release Date: 2025-03-03


DOWNLOAD





This essential book bridges the gap between cutting-edge artificial intelligence and the dynamic world of renewable energy systems. Embark on a journey to the forefront of sustainable energy innovation with this groundbreaking collection of research papers and expert insights. Designed for curious minds and industry leaders alike, this comprehensive resource offers: - A deep dive into the latest advancements in smart computing for sustainable energy. - Exploration of AI-driven techniques revolutionizing energy efficiency and management. - Real-world applications showcasing the transformative power of intelligent systems in renewables. - Insights into futuristic energy infrastructures powered by artificial intelligence. - A perfect blend of theoretical foundations and practical implementations. To a seasoned researcher pushing the boundaries of knowledge, a graduate student aspiring to make a mark, or an industry professional staying ahead of the curve, this book is a gateway to the future of energy. Discover how machine learning is reshaping solar forecasting, uncover the potential of autonomous systems in energy storage, and explore the role of AI in crafting smarter, more sustainable cities. From predictive maintenance that ensures uninterrupted power to intelligent control systems optimizing energy generation, this book covers it all. Don't just witness the renewable energy revolution—be part of it. This book equips readers with the knowledge and inspiration to drive innovation in this critical field. It is more than a collection of papers; it is a roadmap to a sustainable future where smart computing and renewable energy converge. Prepare to challenge your assumptions, expand your expertise, and contribute to a greener tomorrow. Order your copy today and position yourself at the vanguard of the smart energy movement!