Epsilon to Omega

The Frontiers of Clean Energy
Erscheinungsjahr 2027
ISBN: 978-0-443-44215-5
Verlag: Elsevier Science

Buch, Englisch, 300 Seiten, Format (B × H): 152 mm x 229 mm, Gewicht: 450 g

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.

Autoren/Hrsg.

Misra, Siddharth

Fachgebiete

• Technische Wissenschaften Energietechnik | Elektrotechnik Alternative und erneuerbare Energien

Inhaltsverzeichnis

1. The Swarm of Smart Machines
2. AI Engineers of Tomorrow
3. AI Trailblazers: Shaping the Future of Science
4. Machine Intelligence Fueling the Infinite-Energy Future
5. Intelligent Agents Paving the way to a Zero-Carbon Planet
6. Going Beyond Zero to the Frontiers of Carbon Negativity
7. Energy Unleashed: A Sustainable Future

Über Autor(innen)

Misra, Siddharth
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.