Siddharth Misra

Broschiertes Buch

Epsilon to Omega

The Frontiers of Clean Energy

Beschreibung

Epsilon to Omega: The Frontiers of Clean Energy explores the forefront of artificial intelligence (AI) technology and its pivotal role in revolutionizing the energy sector towards sustainable development. By delving into the convergence of AI, energy, and decarbonization, the book presents a diverse range of innovative ideas and million-dollar concepts to address pressing global energy challenges. Through comprehensive case studies, readers are offered in-depth technical insights and future implications, empowering entrepreneurs, engineers, researchers, and policymakers to drive transformative change in the field. The book's detailed exploration unfolds across seven chapters, each delving into a distinct aspect of the AI-driven energy revolution. From the emergence of smart machines and AI engineers of tomorrow to trailblazing advancements in AI-powered science and machine intelligence fueling the infinite-energy future, readers are guided through a journey of cutting-edge technologies and applications. The chapters explore intelligent agents paving the way to a zero-carbon planet, going beyond zero to the frontiers of carbon negativity, and unleashing the potential of a sustainable energy future, offering a comprehensive overview of the transformative potential of AI in shaping the future of energy. Epsilon to Omega: The Frontiers of Clean Energy offers readers practical insights and valuable guidance on harness the power of AI for energy and decarbonization solutions. By showcasing innovative ideas and million-dollar concepts, the book serves as a catalyst for researchers, engineers, entrepreneurs, and policymakers seeking to shape a more sustainable future and make a significant impact in driving transformative change in the energy sector.

Autor

Siddharth Misra is currently associate professor at the Harold Vance Department of Petroleum Engineering, Texas A&M University, College Station, Texas. His research work is in the area of data-driven predictive models, machine learning, geosensors, and subsurface characterization. He earned a PhD in petroleum engineering from the University of Texas and a bachelor of technology in electrical engineering from the Indian Institute of Technology in Bombay. He received the Department of Energy Early Career Award in 2018 to promote geoscience research.

Produktdetails

• Verlag: Elsevier Science
• Seitenzahl: 300
• Erscheinungstermin: 1. März 2026
• Englisch
• ISBN-13: 9780443442155
• ISBN-10: 0443442150
• Artikelnr.: 75034617