Rajat K. Roy; Anil K. Das; Avijit Kumar Metya; Avijit Mondal; Ashis Kumar Panda; M. Ghosh; Satish Chand; Sarmishth Sagar Springer (2023) Kovakantinen kirja
Rajat K. Roy; Anil K. Das; Avijit Kumar Metya; Avijit Mondal; Ashis Kumar Panda; M. Ghosh; Satish Chand; Sarmishth Sagar Springer (2024) Pehmeäkantinen kirja
Apress Sivumäärä: 206 sivua Asu: Pehmeäkantinen kirja Painos: First Edition Julkaisuvuosi: 2024, 23.12.2024 (lisätietoa) Kieli: Englanti
This transformative book explores the power of artificial intelligence (AI) in revolutionizing the utilities industry. It covers crucial topics such as intelligent grids, decentralized energy resources, customer engagement, electric vehicle integration, and more, providing a comprehensive and practical guide to successfully navigate the energy transition.
In today's world, the urgency of addressing climate change and transitioning to sustainable energy systems is undeniable. With approximately 60 percent of global greenhouse gas emissions attributed to the energy sector, utilities play a vital role in achieving sustainability goals. The traditional utility business model faces disruption from renewable energy, changing consumer expectations, and regulatory shifts. Embracing AI emerges as a key solution to optimize operations, enhance grid reliability, and meet evolving customer demands.
Through compelling case studies and industry-specific use cases, you will discover how AI drives innovation, improves operational efficiency, and contributes to a greener and more sustainable world. As the demand for cleaner and more sustainable energy practices grows, this book demonstrates how AI can support utilities in meeting these demands, making them more resilient, agile, and customer-centric.
Whether you're a seasoned industry expert or a curious student, this book equips you with the knowledge and insights to embrace sustainability, navigate the complex energy landscape, leverage AI to shape a positive future, and join the movement towards a greener world, empowered by AI's potential in the utilities industry.
What You Will Learn
Understand the challenges and opportunities for utilities in the context of climate change, energy poverty, and the evolving business landscape
Discover how rapid transformation is needed in the utilities sector to overcome challenges and leverage opportunities for a sustainable future
Gain insight into the role of technology, particularly artificial intelligence (AI), as a critical tool for utilities in their transformation journey
Be aware of how AI can be applied in building the future utility industry, including its potential impact on energy efficiency, intelligent energy ecosystems, community engagement, and new business models
Gain knowledge of the adoption of AI and machine learning technologies in the utility industry, including the current state, barriers, significant influencing factors, and an AI adoption maturity model for utilities
Recognize the sustainability imperative for utilities and how AI can help in achieving sustainable energy practices
Become familiar with the transformation of power generation, microgrids, intelligent transmission and distribution systems, utilities retail, mobility through electric vehicles, and the integration of distributed energy resources(DER) using AI
Gain insight into the potential of AI in addressing challenges and driving innovation in the energy ecosystem, such as optimizing power generation assets, enhancing grid intelligence, improving customer service, and enabling clean energy awareness in the metaverse
Who This Book Is For
Professionals and decision makers in the global utilities industry who want to leverage artificial intelligence (AI) technologies to transform their operations and address challenges and opportunities in the energy sector. This book may also appeal to researchers, academics, and students in the fields of energy engineering, environmental science, data analytics, and AI who want to gain a deeper understanding of AI in the utilities sector and its implications for sustainable energy systems.