Next-Generation Green Energy Technologies for Sustainable Development
Springer Verlag, Singapore
978-981-95-0440-4 (ISBN)
Several developments in green energy technologies have gained momentum in recent years. This book considers the nuances of new paradigms including green energy technologies, smart grid components, the impact of energy storage, electric vehicles, and distributed energy resources in the power networks. It provides illustrative and comprehensive strategies to furnish pragmatic solutions to multifaceted challenges, ushering in a new era of heightened efficiency, unwavering reliability, and enhanced overall performance in modern smart and hybrid energy systems.
Dr. Surender Reddy Salkuti has been working with Woosong University, Daejeon, Republic of Korea, as Associate Professor in the Department of Railroad and Electrical Engineering since April 2014. He received a Ph.D. degree in Electrical Engineering from the Indian Institute of Technology Delhi (IITD), New Delhi, India, in 2013. He was Postdoctoral Researcher at Howard University, Washington, DC, USA, from 2013 to 2014. His research interests include power system restructuring issues, smart grid development with the integration of wind and solar photovoltaic energy sources, battery storage, and electric vehicles, demand response, power system analysis and optimization, artificial intelligence and soft computing techniques application in power systems, and renewable energy. He served as Guest Editor for various international journals. He is also an editorial board member for many journals.
1. An Introduction to Energy Management in Smart Energy Systems.- 2. Integration of Photovoltaic Distributed Generation into Grid.- 3. Fault Diagnosis Methodologies for Electric Vehicle Batteries.- 4. Development of Dataset to Diagnose Electric Vehicle Battery Faults Using Deep Learning Techniques.- 5. Performance Evaluation of Artificial Neural Networks for Electric Vehicle State of Charge Estimation across Different Driving Cycles.- 6. Mitigating impacts of electric vehicle charging stations on voltage profile and power loss of the distribution systems based on operation optimization of soft-open-point using a metaheuristic algorithm.- 7. Dead beat predictive control of a Grid-Tied PV-hybrid energy storage system.- 8. GJO Pattern Search Algorithm-based DG and Capacitor Placement in Distribution Network with Zone based Installation of EVCS.- 9. AI Driven Optimization Techniques for Electric Vehicle Charging Infrastructure.- 10. Artificial Intelligence in Electric Vehicles for Sustainable Driving.
| Erscheinungsdatum | 08.11.2025 |
|---|---|
| Reihe/Serie | Green Energy and Technology |
| Zusatzinfo | 201 Illustrations, color; 46 Illustrations, black and white |
| Verlagsort | Singapore |
| Sprache | englisch |
| Maße | 155 x 235 mm |
| Themenwelt | Technik ► Elektrotechnik / Energietechnik |
| Schlagworte | Artificial Intelligence • Electric Transportation • Electric Vehicles • Energy Storage • Green Energy • internet of things • machine learning • Next Generation Technologies • renewable energy • Smart Charging • sustainable development • Sustainable energy |
| ISBN-10 | 981-95-0440-6 / 9819504406 |
| ISBN-13 | 978-981-95-0440-4 / 9789819504404 |
| Zustand | Neuware |
| Informationen gemäß Produktsicherheitsverordnung (GPSR) | |
| Haben Sie eine Frage zum Produkt? |
aus dem Bereich
