Modern Computing Technologies For Ev Efficiency And Sustainable Energy Integration
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Modern Computing Technologies for EV Efficiency and Sustainable Energy Integration
The market for electric vehicles (EVs) and sustainable energy solutions is experiencing exponential growth, driven by increasing environmental concerns and the need for sustainable alternatives to traditional transportation and energy sources. From intelligent energy management systems to autonomous driving algorithms, modern computing technology is shaping the future of transportation and energy. Therefore, modern computing can drive industrial growth and foster sustainable infrastructure that supports both economic development and environmental sustainability. The efficient use of computing technologies to minimize energy waste, optimize EV charging, and promote renewable energy integration offers a clear path to mitigating climate change. Modern Computing Technologies for EV Efficiency and Sustainable Energy Integration explores the intersection of cutting-edge computing technology and the rapidly evolving fields of EVs and renewable energy. It delves into how advancements in computing are driving innovation in these sectors, shaping the future of transportation and energy sustainability. Covering topics such as interoperability, control strategies, and hybrid energy management, this book is an excellent resource for engineers, technologists, environmentalists, sustainability experts, policymakers, professionals, researchers, scholars, academicians, and more.
ICT - Energy Concepts for Energy Efficiency and Sustainability
Author: Giorgos Fagas
language: en
Publisher: BoD – Books on Demand
Release Date: 2017-03-22
In a previous volume (ICT-Energy-Concepts Towards Zero-Power ICT; referenced below as Vol. 1), we addressed some of the fundamentals related to bridging the gap between the amount of energy required to operate portable/mobile ICT systems and the amount of energy available from ambient sources. The only viable solution appears to be to attack the gap from both sides, i.e. to reduce the amount of energy dissipated during computation and to improve the efficiency in energy-harvesting technologies. In this book, we build on those concepts and continue the discussion on energy efficiency and sustainability by addressing the minimisation of energy consumption at different levels across the ICT system stack, from hardware to software, as well as discussing energy consumption issues in high-performance computing (HPC), data centres and communication in sensor networks. This book was realised thanks to the contribution of the project ‘Coordinating Research Efforts of the ICT-Energy Community’ funded from the European Union under the Future and Emerging Technologies (FET) area of the Seventh Framework Programme for Research and Technological Development (grant agreement n. 611004).
Integrating Artificial Intelligence Into the Energy Sector
Author: Derbali, Abdelkader Mohamed Sghaier
language: en
Publisher: IGI Global
Release Date: 2025-04-08
Artificial intelligence (AI) plays a crucial role in the energy sector, equipping machines with the capability to acquire knowledge and make decisions aimed at solving problems or enhancing outcomes to achieve specific objectives. The integration of AI in the energy domain holds promise in addressing climate change, reducing emissions resulting from technological advancements in industry, maintaining energy equilibrium, and mitigating environmental impacts. The integration of AI into the energy sector proves to be indispensable in furnishing industry and households with novel information services for overseeing energy infrastructure. This includes optimizing power generation, curbing consumption, and combating climate change, among other practices that underscore the potential role of AI. Integrating Artificial Intelligence Into the Energy Sector explores the applications of AI in energy sectors, and their usage in business, home, and organizational improvement. It examines solutions for sustainability, infrastructure development, and data management. This book covers topics such as data science, electric vehicles, and cloud computing, and is a useful resource for data scientists, engineers, business owners, climatologists, academicians, and researchers.