Smart Cities: Power Electronics, Renewable Energy, and Internet of Things
Power Electronics, Renewable Energy, and Internet of Things
Herausgeber: Haque, Ahteshamul; Sharma, Himanshu; Kalam, Akhtar
Smart Cities: Power Electronics, Renewable Energy, and Internet of Things
Power Electronics, Renewable Energy, and Internet of Things
Herausgeber: Haque, Ahteshamul; Sharma, Himanshu; Kalam, Akhtar
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The text discusses the integration of power electronics, renewable energy, and internet of things from the perspective of smart cities in a single volume.
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The text discusses the integration of power electronics, renewable energy, and internet of things from the perspective of smart cities in a single volume.
Produktdetails
- Produktdetails
- Verlag: CRC Press
- Seitenzahl: 320
- Erscheinungstermin: 15. Februar 2024
- Englisch
- Abmessung: 234mm x 156mm x 21mm
- Gewicht: 653g
- ISBN-13: 9781032312439
- ISBN-10: 1032312432
- Artikelnr.: 69433009
- Verlag: CRC Press
- Seitenzahl: 320
- Erscheinungstermin: 15. Februar 2024
- Englisch
- Abmessung: 234mm x 156mm x 21mm
- Gewicht: 653g
- ISBN-13: 9781032312439
- ISBN-10: 1032312432
- Artikelnr.: 69433009
Ahteshamul Haque, Ph.D., is working as Associate Professor at Department of Electrical Engineering, Jamia Millia Islamia ( A Central University), New Delhi, India. His area of research is Power Electronics and its application in renewable energy, electric vehicle, smart cities, wireless sensor networks, Embedded system and AI, ML for Power Electronics applications etc. Dr. Haque has published more than 175 papers in reputed journals and conferences. He is awarded as Outstanding Engineer award for year 2019 by IEEE PES Society. He is also listed in top 2% Akhtar Kalam has been at Victoria University since 1984. He is the Editor in Chief of Australian Journal of Electrical & Electronics Engineering. Further, he has Distinguished Professorship position in many national and international institutions. He has been recognized internationally and nationally for his research. He is regularly invited to deliver lectures, work on industrial projects, and examine external thesis overseas. Professor Kalam is a registered Professional Engineer in the state of Victoria (PEV), Fellow of EA, IET, AIE, a life Senior Member of IEEE, NER, APEC Engineer, IntPE (Aus) and a member of CIGRE AP B5 Study Committee. Himanshu Sharma is presently working as Head (R&D) and Associate Professor in Electronics & Communicaition Engineering (ECE) Department at Noida Institute of Engineering & Technology (NIET), Greater Noida, Gautam buddh Nagar, Uttar Prasdesh (U.P), India. Dr. Himanshu Sharma has worked as a Postdoctoral Researcher Fellow in the field of Industry 4.0 at Aalborg University, Denmark, Europe from the year 2022 to 2023. Dr. Himanshu Sharma has been awarded the IEEE Most read article award-2021 from IEEE Smart Cities Newsletter, USA in the Year 2022.
1. Fundamentals of Power Electronics in Smart Cities. 2. Fundamentals of
Renewable Energy Resources for Smart Cities. 3. Fundamentals of Internet of
Things (IoT) for Smart Cities. 4. Role and Applications of Power
Electronics, Renewable Energy ;and IoT in Smart Cities. 5. Smart Grid
Concept and Technologies for Smart Cities. 6. Smart Agriculture for Smart
Cities. 7. Deep Learning-Based Autonomous Vehicle to Vehicle Detection for
Smart Traffic Monitoring in Smart Cities. 8. Integration of Power
Electronics in Renewable Energy for Smart Cities. 9. Integration of IoT in
Renewable Energy for Smart Cities. 10. Power Electronics and IoT for
Electric Vehicles in Smart Cities. 11: Machine Learning-Based DNS Traffic
Monitoring for Securing IoT Networks. 12: Machine Learning in Power
Electronics for Smart Cities. 13: Machine Learning in Renewable Energy
Systems for Smart Cities.
Renewable Energy Resources for Smart Cities. 3. Fundamentals of Internet of
Things (IoT) for Smart Cities. 4. Role and Applications of Power
Electronics, Renewable Energy ;and IoT in Smart Cities. 5. Smart Grid
Concept and Technologies for Smart Cities. 6. Smart Agriculture for Smart
Cities. 7. Deep Learning-Based Autonomous Vehicle to Vehicle Detection for
Smart Traffic Monitoring in Smart Cities. 8. Integration of Power
Electronics in Renewable Energy for Smart Cities. 9. Integration of IoT in
Renewable Energy for Smart Cities. 10. Power Electronics and IoT for
Electric Vehicles in Smart Cities. 11: Machine Learning-Based DNS Traffic
Monitoring for Securing IoT Networks. 12: Machine Learning in Power
Electronics for Smart Cities. 13: Machine Learning in Renewable Energy
Systems for Smart Cities.
1. Fundamentals of Power Electronics in Smart Cities. 2. Fundamentals of
Renewable Energy Resources for Smart Cities. 3. Fundamentals of Internet of
Things (IoT) for Smart Cities. 4. Role and Applications of Power
Electronics, Renewable Energy ;and IoT in Smart Cities. 5. Smart Grid
Concept and Technologies for Smart Cities. 6. Smart Agriculture for Smart
Cities. 7. Deep Learning-Based Autonomous Vehicle to Vehicle Detection for
Smart Traffic Monitoring in Smart Cities. 8. Integration of Power
Electronics in Renewable Energy for Smart Cities. 9. Integration of IoT in
Renewable Energy for Smart Cities. 10. Power Electronics and IoT for
Electric Vehicles in Smart Cities. 11: Machine Learning-Based DNS Traffic
Monitoring for Securing IoT Networks. 12: Machine Learning in Power
Electronics for Smart Cities. 13: Machine Learning in Renewable Energy
Systems for Smart Cities.
Renewable Energy Resources for Smart Cities. 3. Fundamentals of Internet of
Things (IoT) for Smart Cities. 4. Role and Applications of Power
Electronics, Renewable Energy ;and IoT in Smart Cities. 5. Smart Grid
Concept and Technologies for Smart Cities. 6. Smart Agriculture for Smart
Cities. 7. Deep Learning-Based Autonomous Vehicle to Vehicle Detection for
Smart Traffic Monitoring in Smart Cities. 8. Integration of Power
Electronics in Renewable Energy for Smart Cities. 9. Integration of IoT in
Renewable Energy for Smart Cities. 10. Power Electronics and IoT for
Electric Vehicles in Smart Cities. 11: Machine Learning-Based DNS Traffic
Monitoring for Securing IoT Networks. 12: Machine Learning in Power
Electronics for Smart Cities. 13: Machine Learning in Renewable Energy
Systems for Smart Cities.