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A key focus in recent years has been on sustainable development and
promoting environmentally conscious practices. In today's rapidly
evolving technological world, it is important to consider how
technology can be applied to solve problems across disciplines and
fields in these areas. Further study is needed in order to
understand how technology can be applied to sustainability and the
best practices, considerations, and challenges that follow.
Futuristic Trends for Sustainable Development and Sustainable
Ecosystems discusses recent advances and innovative research in the
area of information and communication technology for sustainable
development and covers practices in several artificial intelligence
fields such as knowledge representation and reasoning, natural
language processing, machine learning, and the semantic web.
Covering topics such as blockchain, deep learning, and renewable
energy, this reference work is ideal for computer scientists,
industry professionals, researchers, academicians, scholars,
instructors, and students.
Electronic device usage has increased considerably in the past two
decades. System configurations are continuously requiring upgrades;
existing systems often become obsolete in a matter of 2–3 years.
Green computing is the complete effective management of design,
manufacture, use, and disposal, involving as little environmental
impact as possible. This book intends to explore new and innovative
ways of conserving energy, effective e-waste management, and
renewable energy sources to harness and nurture a sustainable
eco-friendly environment. This book: • Highlights innovative
principles and practices using effective e-waste management and
disposal • Explores artificial intelligence based sustainable
models • Discovers alternative sources and mechanisms for
minimizing environmental hazards • Highlights successful case
studies in alternative sources of energy • Presents solid
illustrations, mathematical equations, as well as practical
in-the-field applications • Serves as a one-stop reference guide
to stakeholders in the domain of green computing, e-waste
management, renewable energy alternatives, green transformational
leadership including theory concepts, practice and case studies •
Explores cutting-edge technologies like internet of energy and
artificial intelligence, especially the role of machine learning
and deep learning in renewable energy and creating a sustainable
ecosystem • Explores futuristic trends in renewable energy This
book aims to address the increasing interest in reducing the
environmental impact of energy as well as its further development
and will act as a useful reference for engineers, architects, and
technicians interested in and working with energy systems;
scientists and engineers in developing countries; industries,
manufacturers, inventors, universities, researchers, and interested
consultants to explain the foundation to advanced concepts and
research trends in the domain of renewable energy and sustainable
computing. The content coverage of the book is organized in the
form of 11 clear and thorough chapters providing a comprehensive
view of the global renewable energy scenario, as well as how
science and technology can play a vital role in renewable energy.
A key focus in recent years has been on sustainable development and
promoting environmentally conscious practices. In today's rapidly
evolving technological world, it is important to consider how
technology can be applied to solve problems across disciplines and
fields in these areas. Further study is needed in order to
understand how technology can be applied to sustainability and the
best practices, considerations, and challenges that follow.
Futuristic Trends for Sustainable Development and Sustainable
Ecosystems discusses recent advances and innovative research in the
area of information and communication technology for sustainable
development and covers practices in several artificial intelligence
fields such as knowledge representation and reasoning, natural
language processing, machine learning, and the semantic web.
Covering topics such as blockchain, deep learning, and renewable
energy, this reference work is ideal for computer scientists,
industry professionals, researchers, academicians, scholars,
instructors, and students.
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