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AI for Utilities

Author: Debashish Roy

Publisher: Apress

Published: 2024-05-10

Total Pages: 0

ISBN-13:

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.

Introduction to AI Techniques for Renewable Energy System

Author: Suman Lata Tripathi

Publisher: CRC Press

Published: 2021-11-25

Total Pages: 423

ISBN-13: 1000392457

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Introduction to AI techniques for Renewable Energy System Artificial Intelligence (AI) techniques play an essential role in modeling, analysis, and prediction of the performance and control of renewable energy. The algorithms used to model, control, or predict performances of the energy systems are complicated, involving differential equations, enormous computing power, and time requirements. Instead of complex rules and mathematical routines, AI techniques can learn critical information patterns within a multidimensional information domain. Design, control, and operation of renewable energy systems require a long-term series of meteorological data such as solar radiation, temperature, or wind data. Such long-term measurements are often non-existent for most of the interest locations or, wherever they are available, they suffer from several shortcomings, like inferior quality of data, and in-sufficient long series. The book focuses on AI techniques to overcome these problems. It summarizes commonly used AI methodologies in renewal energy, with a particular emphasis on neural networks, fuzzy logic, and genetic algorithms. It outlines selected AI applications for renewable energy. In particular, it discusses methods using the AI approach for prediction and modeling of solar radiation, seizing, performances, and controls of the solar photovoltaic (PV) systems. Features Focuses on a significant area of concern to develop a foundation for the implementation of renewable energy system with intelligent techniques Showcases how researchers working on renewable energy systems can correlate their work with intelligent and machine learning approaches Highlights international standards for intelligent renewable energy systems design, reliability, and maintenance Provides insights on solar cell, biofuels, wind, and other renewable energy systems design and characterization, including the equipment for smart energy systems This book, which includes real-life examples, is aimed at undergraduate and graduate students and academicians studying AI techniques used in renewal energy systems.

Decision Making Using AI in Energy and Sustainability

Author: Gülgün Kayakutlu

Publisher: Springer Nature

Published: 2023-10-16

Total Pages: 307

ISBN-13: 3031383877

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Artificial intelligence (AI) has a huge impact on science and technology, including energy, where access to resources has been a source of geopolitical conflicts. AI can predict the demand and supply of renewable energy, optimize efficiency in energy systems, and improve the management of natural energy resources, among other things. This book explores the use of AI tools for improving the management of energy systems and providing sustainability with smart cities, smart facilities, smart buildings, smart transportation, and smart houses. Featuring research from International Federation for Information Processing's (IFIP) “AI in Energy and Sustainability” working group, this book provides new models and algorithms for AI applications in energy and sustainability fields. Any short-term, mid-term and long-term forecasting, optimization models, trend foresights and prescriptions based on scenarios are studied in the energy world and the smart systems for sustainability. The contents of this book are valuable for energy researchers, academics, scholars, practitioners and policy makers.

Artificial Intelligence Techniques for a Scalable Energy Transition

Author: Moamar Sayed-Mouchaweh

Publisher: Springer

Published: 2021-06-21

Total Pages: 382

ISBN-13: 9783030427283

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This book presents research in artificial techniques using intelligence for energy transition, outlining several applications including production systems, energy production, energy distribution, energy management, renewable energy production, cyber security, industry 4.0 and internet of things etc. The book goes beyond standard application by placing a specific focus on the use of AI techniques to address the challenges related to the different applications and topics of energy transition. The contributions are classified according to the market and actor interactions (service providers, manufacturers, customers, integrators, utilities etc.), to the SG architecture model (physical layer, infrastructure layer, and business layer), to the digital twin of SG (business model, operational model, fault/transient model, and asset model), and to the application domain (demand side management, load monitoring, micro grids, energy consulting (residents, utilities), energy saving, dynamic pricing revenue management and smart meters, etc.).

AI-Powered IoT in the Energy Industry

Author: S. Vijayalakshmi

Publisher: Springer Nature

Published: 2023-04-05

Total Pages: 318

ISBN-13: 3031150449

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AI-Powered IoT in the Energy Industry: Digital Technology and Sustainable Energy Systems looks at opportunities to employ cutting-edge applications of artificial intelligence (AI), the Internet of Things (IoT), and Machine Learning (ML) in designing and modeling energy and renewable energy systems. The book's main objectives are to demonstrate how big data can help with energy efficiency and demand reduction, increase the usage of renewable energy sources, and assist in transitioning from a centralized system to a distributed, efficient, and embedded energy system. Contributions cover the fundamentals of the renewable energy sector, including solar, wind, biomass, and hydrogen, as well as building services and power generation systems. Chapters also examine renewable energy property prediction methods and discuss AI and IoT prediction models for biomass thermal properties. Covers renewable energy sector fundamentals; Explains the application of big data in distributed energy domains; Discusses AI and IoT prediction methods and models.

The Fourth Industrial Revolution

Author: Alan Nankervis

Publisher: Springer Nature

Published: 2021-08-11

Total Pages: 248

ISBN-13: 9811616140

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This book explores the core themes of the Fourth Industrial Revolution (4IR) highlighting the digital transformation that has been occurring in society and business. Representing an interface between technologies in the physical, digital and biological disciplines the book explores emerging technologies such as artificial intelligence, robotics, the Internet of Things, autonomous vehicles, 3-D printing, nanotechnology, biotechnology, materials science, energy storage, and quantum computing. The findings of collaborative research studies on the potential impact of the 4IR on the labour markets, occupations, future workforce competencies and skills associated with eight industry sectors in Australia are reported. The sectors are: agriculture and mining; manufacturing and logistics; health, medical and nursing; education; retail; financial services; government services and tourism.

Applied Artificial Intelligence in Business

Author: Leong Chan

Publisher: Springer Nature

Published: 2022-07-19

Total Pages: 370

ISBN-13: 3031057406

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This book offers students an introduction to the concepts of big data and artificial intelligence (AI) and their applications in the business world. It answers questions such as what are the main concepts of artificial intelligence and big data? What applications for artificial intelligence and big data analytics are used in the business field? It offers application-oriented overviews and cases from different sectors and fields to help readers discover and gain useful insights. Each chapter features discussion questions and summaries. To assist professors in teaching, the book supplementary materials will include answers to questions, and presentation slides.

IoT and Analytics in Renewable Energy Systems (Volume 1)

Author: O.V. Gnana Swathika

Publisher: CRC Press

Published: 2023-08-11

Total Pages: 335

ISBN-13: 1000909778

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Smart grid technologies include sensing and measurement technologies, advanced components aided with communications and control methods along with improved interfaces and decision support systems. Smart grid techniques support the extensive inclusion of clean renewable generation in power systems. Smart grid use also promotes energy saving in power systems. Cyber security objectives for the smart grid are availability, integrity and confidentiality. Five salient features of this book are as follows: AI and IoT in improving resilience of smart energy infrastructure IoT, smart grids and renewable energy: an economic approach AI and ML towards sustainable solar energy Electrical vehicles and smart grid Intelligent condition monitoring for solar and wind energy systems

Integration of Energy, Information, Transportation and Humanity

Author: C.C. Chan

Publisher: Elsevier

Published: 2023-10-11

Total Pages: 337

ISBN-13: 0323955223

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Focusing on energy, transportation, information, and economic networks and flows, Integration of Energy, Information,Transportation and Humanity uniquely examines the interconnection, interaction, and integration across these multiple sectors. It helps readers understand the correlation of energy, transportation, and information via the integration of humanity world, cyber world and physical world. It clearly explains the objectives of the integration of energy network, transportation network, information network, humanity network, as well as the integration of energy flow, information flow, material flow and value flow (4N4F); the philosophy, science, and engineering of the integration of 4N4F; the mechanism, keys and benefits of the integration of 4N4F; the carriers of the integration of 4N4F; and the framework of the integration of 4N4F. Synthesizes the newest developments in digital technologies and digital economy Includes case studies and examples that illustrate the application of methodologies and technologies employed Useful for both theoretically and technically oriented researchers

AI in the business

Author: Matevos Ghazaryan

Publisher: Matevos Ghazaryan

Published: 2024-03-24

Total Pages: 285

ISBN-13:

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Dive into the transformative world of Artificial Intelligence (AI) with this comprehensive guide, which demystifies AI for readers of all backgrounds. Whether you're a curious newcomer, a seasoned professional, or someone in between, this book offers a panoramic view of AI's significance in our modern world, its foundational concepts, technological advancements, and its profound impact on our future. "Exploring Artificial Intelligence: A Comprehensive Guide to AI's Impact and Future" begins with an engaging preface that sets the stage for a deep dive into AI's essence, starting with its basic concepts, historical milestones, and evolutionary journey. The book unravels the complex tapestry of AI technologies and tools, providing readers with a clear understanding of key developments that have shaped AI into the powerhouse it is today. Part I of the book lays the groundwork by elucidating AI's fundamental principles. It offers a detailed exploration of its origins and the pivotal technologies that drive AI development. From machine learning to neural networks, get acquainted with the building blocks of AI and the tools that bring AI applications to life. Part II shifts focus to AI in practice, showcasing real-world applications and the transformative potential of AI across various industries. From enhancing business operations to revolutionizing healthcare and beyond, this section illustrates how AI is integrated into daily life and making an indelible mark on society. Part III delves into AI's societal impacts, addressing rapid AI advancement's ethical and societal implications. It navigates AI's challenges and opportunities, fostering a critical understanding of how AI influences ethical considerations, privacy, employment, and social justice. Part IV looks ahead to the future, preparing readers for an AI-driven world. It discusses the skills, knowledge, and adaptations necessary to thrive in an increasingly automated society. This forward-looking section speculates on emerging trends and potential directions of AI technology, emphasizing the importance of ongoing research, ethical development, and policy-making. The book's conclusion offers a reflective summary and a call to action, encouraging readers to engage with AI technology thoughtfully and responsibly. It underscores the need for a collective effort to shape an AI-enhanced future that is inclusive, ethical, and beneficial for all. "Exploring Artificial Intelligence: A Comprehensive Guide to AI's Impact and Future" is not just a book; it's an invitation to participate in the ongoing conversation about AI. It provides the tools, knowledge, and perspective to navigate the AI landscape with confidence, curiosity, and a sense of responsibility. With this enlightening guide, embrace the journey into AI and prepare to be amazed by AI's possibilities for our future.