Driving Affordable and Clean Energy Through AI and Intelligent Systems

The global transition to affordable and clean energy is a defining challenge of our time, demanding solutions that balance sustainability and cost. Artificial intelligence (AI) and intelligent systems emerge as powerful tools of this transformation, offering advanced capabilities in data analysis, and optimization. By enhancing energy generation, integrating renewable sources and reducing waste, AI technologies can accelerate the shift toward low-carbon energy systems. Harnessing these tools effectively not only supports environmental goals but also expands access to affordable energy. Driving Affordable and Clean Energy Through AI and Intelligent Systems explores the transformative role of AI and intelligent systems in driving innovation for energy sustainability. It examines how intelligent systems and AI can be effectively used to enhance the global goals for energy sustainability. Covering topics such as intelligent systems, clean energy, and artificial intelligence, this book is an excellent resource for policy makers, educators, engineers, academicians, graduate students, energy scientists, and more.

Dr. Gunjan Gupta (nominee for prestigious HERS SA Young achievers Award), received B.Tech (Electronics & Telecommunication) and M. Tech (VLSI) degrees from India in 2006 and 2011 respectively, DEng in Renewable Energy from Cape Peninsula University of Technology, Cape Town, in 2018. She started her career in 2006, an academic experience of more than 17 years and supervised more than 200 Undergraduate students. She worked as a Post Doctoral Researcher (Satellite Systems Design) at French South African Institute of Technology for three years (2020-2023). Currently, She is a Senior Lecturer in the Department of Electrical, Electronics and Computer Engineering, member of African Space Innovation Centre (ASIC), F'SATI at the Cape Peninsula University of Technology (CPUT), Bellville, South Africa. She has published numerous technical papers in accredited Journals, peer-reviewed conference proceedings and book chapters. Her research focusses on LoRa Networks (Reliability and accuracy), LPWAN Technologies, LoRa based Air quality IoT devices, LoRa WAN in satellite communication (CUBESATS), Satellite systems mission and design. Her current research activities include Integration of LoRaWAN and 5G for IoT, LoRa Direct-to-Satellites, IoT ground station. She lectured various subjects including Solid State Devices & Circuits, Digital Systems-(1 & 2), Communication Systems, Electronic Communication, Physics, Electromagnetic Field Theory, etc. She is a recipient of numerous awards which includes Best adopting faculty, merit award for batch topper, Student activity council member, best paper awards in national and international conferences.

Sandeep Gupta is presently working as an Associate Professor at Graphic Era (Deemed to be University), Dehradun (India). He has a total of 15 years of experience. His areas of interest in research are the application of artificial intelligence to power system control design, FACTS devices, renewable energy, power electronics, and stability of power systems with machine learning. He is a member of numerous professional organizations, including IE, IRED, IDES, IAENG, IAER, and the Society of Professional Engineers. He has been the author or co-author of more than 90 papers published in international journals and presented at different national and international conferences. He is currently guiding the research scholars under Machine Learning, Control & Power Systems, Wireless Technology, and the Internet of Things.