Details
Smart Technologies for Energy and Environmental Sustainability
Green Energy and Technology
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171,19 € |
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| Verlag: | Springer |
| Format: | |
| Veröffentl.: | 30.11.2021 |
| ISBN/EAN: | 9783030807023 |
| Sprache: | englisch |
| Anzahl Seiten: | 273 |
Dieses eBook enthält ein Wasserzeichen.
Beschreibungen
As the application of smart technologies for monitoring environmental activities becomes more widespread, there is a growing demand for solutions that can help analyze the risk factors and impacts on the environment by focusing on energy consumption, storage, and management. This book is designed to serve as a knowledge-sharing platform, focusing on the emerging models, architectures, and algorithms being developed for smart computational technologies that can lead to efficient energy conservation and environmental sustainability.
Organic Semiconductors: Technology and Environment.- Defining, and Visualizing Smart Technologies for Energy and Environment.- Smartification of Energy Systems: Artificial Intelligence Approach.- Sensing, Communication With Efficient and Sustainable Energy: An IoT Framework for Smart Cities.- Existing Green Computing Techniques.- Renewable Energy: The Way Ahead.- Smart Home for Efficient Energy Management.- Solar Energy Radiation Forecasting Method: A Review.- Electric Vehicles for Environmental Sustainability.- Smart Grid: A Survey.- Green Buildings: the Future Ahead.- Reliable and Cost-Effective Smart Water Governing System for Industries and Households.- Adaptation of Smart Technologies and E-Waste: Risks and Environmental Impact.- Smart Technologies for Energy Conservation and Environment.- IoT in Agriculture.- The Environmental Implications of Economic Growth and Increasing Energy Consumption.- Assessment of IoT Based Smart Technologies for Sustainable Development.- Effect of Cryogenic Treatment on the Environment and Tool Life.- Evaluation of Energy Management System by Implication of Cleaner Technology in Cement Industry at Tamil Nadu.- Role of Governance.<div><br></div>
<div><b>Dr. Parul Agarwal</b> is an Associate Professor in the Department of Computer Science and Engineering at Jamia Hamdard. Her areas of specialization include fuzzy data mining, cloud computing, and soft computing, with a particular interest in the area of sustainable computing and its applications in agriculture, transportation, and health care. Dr. Agarwal has published several papers related to sustainable computing in Scopus indexed journals and is the author of several book chapters published by Springer, CRC Press and IGI Global. </div><div><b><br></b></div><b>Dr. Mamta Mittal </b>graduated with a degree in Computer Science and Engineering from Kurukshetra University in 2001 and received her Master’s degree from J.C. Bose University of Science and Technology, YMCA, Faridabad. She subsequently completed her Ph.D. at Thapar University Patiala and is currently teaching at GB Pant Government Engineering College, New Delhi. She has filed two patents: for a human surveillance system, and a wireless copter for handling and defusing explosives. She is the editor of the books <i>Data Intensive Computing Application for Big Data</i> (IOS Press), and <i>Big Data Processing Using Spark in Cloud</i> (Springer). Her research interests include data mining, big data, soft computing, and machine learning.<div><br></div><div><b>Dr. Jawed Ahmad</b> is an Assistant Professor in the Department of Computer Science and Engineering at Jamia Hamdard. His areas of specialization include health informatics and soft computing. He served as Conference Secretary for the 2019 and 2020 International Conference on ICT for Digital, Smart, and Sustainable Development, and is a recipient of the Okhla Ratan Award.<br></div><div><br></div><div><b>Dr. Sheikh Mohammad Idrees</b> is working as a Post-Doctoral Research Fellow in the Department of Computer Science at the Norwegian University of Science and Technology (NTNU). Dr. Idrees received his PhD from the Department of Computer Science and Engineering at Jamia Hamdard. He has published several research articles with international conferences and journals, and his research interests include data mining, block-chain technology, energy conservation, time series analytics, and predictive analytics and modeling.<br></div>
As the application of smart technologies for monitoring environmental activities becomes more widespread, there is a growing demand for solutions that can help analyze the risk factors and impacts on the environment by focusing on energy consumption, storage, and management. This book is designed to serve as a knowledge-sharing platform, focusing on the emerging models, architectures, and algorithms being developed for smart computational technologies that can lead to efficient energy conservation and environmental sustainability.<div><br></div><div><ul><li>Focuses on emerging smart computational technologies; </li><li>Presents feasible and innovative solutions for efficient energy conservation; </li><li>Case studies provide an experimental understanding of energy and its impact on environment.</li></ul></div>
Focuses on emerging smart computational technologies Presents feasible and innovative solutions for efficient energy conservation Case studies provide an experimental understanding of energy and its impact on environment
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