El. knyga: Intelligent and Sustainable Power and Energy Systems [Taylor & Francis e-book]

1. Comparative Study of Non-Isolated DC-DC Converters for Fuel Cell
Electric Vehicles,
2. Secure File Storage System to Secure the Security
Algorithm and Password,
3. Optimal Allocation of Distributed Generators in
Distribution System with Various Load Models,
4. Power Quality Issues and
Improvement Techniques,
5. Advanced Control Strategies for Distributed
Generation in Microgrids: Enhancing Efficiency, Reliability and Renewable
Energy Integration,
6. A Novel Nine-Level Switched Capacitor Multilevel
Inverter Topology with Common Ground Configuration,
7. Optimised EV Charging
Infrastructure: A Grid-Integrated Solar and Battery Storage System with
Triple-Loop Control,
8. Parameter Optimisation of PID Controller Utilised for
Speed Control of DC Motor with Ziegler-Nichols and Cohen-Coon Tuning Method,
9. Wireless Personal Protection for High Voltage Alert System,
10.
Neuro-Oncology Reimagined: Tailored Prognosis for Brain Tumors Using Adaptive
Machine Learning,
11. Automated Schizophrenia Detection and Classification
(STFDL-ASDC): A Proposed Model for Self-Reported Schizophrenic Episodes,
12.
Journey Toward Sustainability: Advancements in Hybrid Electric Vehicle
Development,
13. Role of DC-DC Converters in Battery Management Systems,
14.
Wind Power Forecasting using Machine Learning,
15. Cost Optimization of
Microgrid in EV Application using PSO Algorithm,
16. Real-Time Cell
Monitoring and Parameter Estimation for EV Applications,
17.
Sound-Sensor-Based Emergency Vehicle Priority Detection at Urban Traffic
Intersections,
18. Efficiency Enhancement of a Two-Stage Three-Phase
Grid-Connected Solar-PV System Using Simplified Power Regulation Techniques,
19. Battery Management System for Electric Vehicle Using AI,
20. Real-Time
Monitoring and Alert System for Earthing Integrity in Electrical
Installations,
21. Photovoltaic Based Charging of 5V Smart Gadgets in Indian
Household,
22. AI-Based Control System for Wireless EV Charging with
Real-Time Battery Monitoring and Management,
23. A Scalable AI-Driven
Framework for Sustainable Ride-Sharing and Intelligent Logistics Using
Advanced Route Optimization,
24. Single-Axis Sun Tracker for PV Panels Using
a Single-Slit Sun Sensor,
25. Analysis of Plant Health using Python Image
ProcessingAn Innovative Agro Technique,
26. Alzheimers Care Assistant: A
Machine Learning-Based Wearable Solution for Cognitive Support and
Monitoring,
27. A Systematic Review of Active Balancing Strategies in
Electric Vehicle Battery Systems,
28. Analysis of Electrical Discharge Plasma
Based Technique on Seed Germination and Plant GrowthAn Innovation Towards
Agro-Sector,
29. IoT-Driven Solar-Powered Variable Speed Induction Motor
System Aligned with Sustainable Development Goals,
30. AI-Based Fuel and
Energy Management System (EMS) in Hybrid Electric Vehicle (HEVs): A Review,
31. AI-Based Symptom Diagnosis with Integrated HER (Electronic Health
Records) using Wearable Health Devices and IoT,
32. Soft Switching
Converter-based EV Fast Charging Station Deploying Sustainable Energy,
33. AI
Based System for Real-Time Electric Theft Identification,
34. Novel
Spatio-Temporal Hybrid Model for Rainfall Prediction in Andhra Pradesh Using
USGS Satellite Data

Dr. M. Premkumar is working as a Professor and head of the Electrical and Electronics Engineering Department at the Dayananda Sagar College of Engineering, Bengaluru, India. He has over 17 years of teaching experience. He has published over 180 technical articles in various National/International peer-reviewed journals, such as IEEE, Elsevier, Springer, and so on, with over 4500 citations and an H-index of 37. He has published/granted twelve patents by IPR, India, and IPR, Australia. He is also an Editor/Reviewer for leading journals of different publishers, such as IEEE, IET, Wiley, Taylor & Francis, Springer, MDPI, etc. He is recognised as one of the Top 2% of Scientists Worldwide based on the Study Conducted by Stanford University for the four consecutive years (2020, 2021, 2022, and 2023). His current research interests include power converters/inverters, renewable energy systems, smart grid and microgrids, PV parameter extraction, modern PV MPPTs, PV array faults, non-isolated/isolated dc-dc converters for renewable energy systems and electric vehicles, BMS for electric vehicles, and optimisation algorithms, including single-, multi-, and many-objectives for real-time power electronics and power systems problems.

Dr. Pasumarthi Usha received the B.Tech from E&EE in 1990, M.Tech in Power System with emphasis in High Voltage from J.N.T.U, College of Engineering Kakinada in 1992, and the Ph.D. in HVDC Power Transmission from Visvesvaraya Technical University in 2013, respectively. She works as a Professor at the Department of Electrical and Electronics Engineering, Dayananda Sagar College of Engineering. Her research areas are HVDC Power systems, Microgrid, and Power Electronics.

Dr. Sujit Kumar received his PhD in Electrical Engineering from MPUAT, CTAE, Udaipur, with the collaboration of IIT Roorkee with the DST Inspire Fellowship. He also worked as SRF at IIT Roorkee during the period of his PhD. He did his M. Tech from Sharda University, Greater Noida, as a Gold Medallist, and his B.E from Birla Institute of Technology and Science, Pilani (BITS Campus) as a gold medallist. During his B.E., he received a Governor of France Scholarship for his academic excellence. He is currently posted as an Assistant Professor in the Department of Electrical and Electronics Engineering at Dayananda Sagar College of Engineering, Bengaluru, India. He receives the prestigious Gold Medal in the NPTEL training course (Fuzzy Sets, Logic and Systems & amp; Applications) and exemplifies professional development and lifelong learning excellence. He secured all India ranks in GATE 2017 and GATE 2018 as 16 and 17, respectively. His expertise includes Nanotechnology, Material Science, Sustainable Energy, and Artificial Intelligence in Power Systems.

Dr. Manikanta Gopisetti is an assistant professor at Dayananda Sagar College of Engineering, Bengaluru, India. He completed his Ph.D. in Electrical Engineering from AUUP, Amity University in 2021. He received his M. Tech. degree in Power System Engineering, from SRM University Chennai, India. He graduated from Chaitanya Engineering College, Visakhapatnam, India. He has received two best paper awards in IEEE indexed conferences. He has published many research papers in reputed journals and conference proceedings. He delivered some talks on Distributed generators, Network reconfiguration and Electric Vehicles. His research interests include Distributed Generation, Network Reconfiguration, Electric Vehicles, Evolutionary Computation, and Renewable Energy Sources.