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Elsevier

Books in Electric power

This portfolio covers the generation, transmission, and distribution of electric power, including grid management, smart grids, and emerging technologies. Supporting researchers, engineers, and policymakers, it features cutting-edge innovations, system optimization, and reliability studies. With a focus on sustainability and efficiency, these resources address challenges in modern power systems, integrating renewable sources and smart technologies to ensure resilient and sustainable electricity supply for society.

  • Machine Learning and Data Analysis for Energy Efficiency in Buildings

    Intelligent Operation, Maintenance, and Optimization of Building Energy Systems
    • 1st Edition
    • Tianyi Zhao + 2 more
    • English
    Machine Learning and Data Analysis for Energy Efficiency in Buildings: Intelligent Operation, Maintenance, and Optimization of Building Energy Systems introduces data basics, from selecting and evaluating data to the identification and repair of abnormalities. Other sections cover data mining applied to energy forecasting, including long- and short-term predictions, the introduction of occupant-focused behavior analysis, and current methods for supply and demand applications. Case studies are included in each part to assist in evaluation and implementation of these techniques across building energy systems.Working from the fundamentals of big data analysis to a complete method for building energy assessment, flexibility, and management, this book provides students, researchers, and professionals with an essential, cutting-edge resource on this important technology.

  • Optimal Operation and Resilience Enhancement of Integrated Power and Transport Systems

    • 1st Edition
    • Shiwei Xie + 3 more
    • English
    Optimal Operation and Resilience Enhancement of Integrated Power and Transport Systems is a comprehensive guide designed to equip readers with the knowledge and tools necessary to navigate the complexities of modern energy and transport systems. Bridging the gap between foundational theories and cutting-edge applications, the book emphasizes actionable strategies for enhancing system performance and resilience. With a focus on sustainable solutions, it empowers professionals to address critical challenges in an era of increasing interdependence between power and transport infrastructures.Beyo... its foundational principles, the book delves into advanced methodologies, practical case studies, and innovative technologies. It serves as an indispensable resource for engineers, researchers, and policymakers, fostering a deeper understanding of system optimization.

  • Development of Electric Vehicles in Smart Grid Concepts

    • 1st Edition
    • Supriya Jaiswal + 2 more
    • English
    Development of Electric Vehicles in Smart Grid Concepts presents a guide to the design, development, and deployment of electric vehicles in smart grids. The book examines the current technological progression of power electronic converters for smart grid operation and EV technology as well as providing the international standards, policies, and market needs to ensure readers understand the nuanced requirements of the grid. The book begins by introducing EVs, encompassing their historical evolution, current status, and potential advancements. It delves into the architecture, components, working modes, and technological challenges within EVs.There is a dedicated chapter on international standards, governmental policies, and codes for implementation, followed by the integration of EVs into smart grids, discussing infrastructure requirements, impacts, and integration modes (V2G, G2V, V2B, and V2H). Technical aspects, modeling, and optimization methods for EV scheduling are explored alongside battery modeling, degradation, charging standards, SOC estimation, and battery management systems. Additionally, the book examines EV interaction with smart grids, renewable energy sources, energy storage systems, global market surveys, and future trends.

  • Perovskite Photovoltaics

    Basic to Advanced Concepts and Implementation
    • 2nd Edition
    • Aparna Thankappan + 2 more
    • English
    Perovskite Photovoltaics: Basic to Advanced Concepts and Implementation, Second Edition brings together the latest advances in perovskite photovoltaics, associated challenges and opportunities, and how to achieve further developments. This edition presents new topics and novel areas, including defect engineering, interface engineering, additive engineering, anti-solvents, single crystal perovskite solar cells, inorganic perovskites, optoelectronic characterization, and mathematical modeling of perovskite solar cells. In addition, the book contains a detailed analysis of the implementation and economic viability of perovskite solar cells, highlighting what photovoltaic devices need to be generated by low cost, non-toxic, earth abundant materials using environmentally-scal... processes.This book is a valuable resource for all those with an interest in perovskite solar cells, photovoltaics, and more broadly solar energy and renewable energy, including researchers, scientists, graduate students, engineers, R&D professionals, and other industry personnel.

  • Physics-Aware Machine Learning for Integrated Energy Systems Management

    • 1st Edition
    • Mohammadreza Daneshvar + 3 more
    • English
    Physics-Aware Machine Learning for Integrated Energy Systems Management, a new release in the Advances in Intelligent Energy Systems series, guides the reader through this state-of-the-art approach to computational methods, from data input and training to application opportunities in integrated energy systems. The book begins by establishing the principles, design, and needs of integrated energy systems in the modern sustainable grid before moving into assessing aspects such as sustainability, energy storage, and physical-economic models. Detailed, step-by-step procedures for utilizing a variety of physics-aware machine learning models are provided, including reinforcement learning, feature learning, and neural networks.Supporting students, researchers, and industry engineers to make renewable-integrated grids a reality, this book is a holistic introduction to an exciting new approach in energy systems management.

  • Microgrid Technology and Microgrid Cluster Development

    • 1st Edition
    • Baseem Khan + 2 more
    • English
    Microgrid Technology and Microgrid Cluster Development is a comprehensive guide to microgrid systems fundamentals, optimization, control, protection, and energy management.The book explains microgrid architectures that might be combined to create a cluster of microgrids. This is a valuable resource for all those looking to gain a complete understanding of current microgrid and cluster technology, including students, researchers, faculty, R&D professionals, engineers, and other industry personnel with an interest in grid integration, power systems, and renewable energy.The microgrid is first defined as a standalone entity with potential interconnections with external grids. Then, the layout, line technology, and interface technology of potential microgrid cluster topologies are designed, with comparison and analysis of the various microgrid and cluster designs in terms of price, scalability, security, dependability, stability, communications, and business models. Key aspects are covered in detail, including optimization algorithms and the role of machine learning and artificial neural networks, control and protection techniques, and energy management and storage.

  • Enhancing Resilience in Power Distribution Systems

    • 1st Edition
    • Fangxing Fran Li + 2 more
    • English
    Enhancing Resilience in Power Distribution Systems presents practical guidance for readers on the challenges and potential solutions for resilience in modern power systems. The book begins by explaining the risks and problems for resilience presented by renewable-based power systems. It goes on to clarify the current state of research and propose several novel methodologies and technologies for analysis and improvement of power system resilience. These methods include deep learning, linear programming, and generative adversarial networks.Packed with practical steps and tools for implementing the latest technologies, this book provides researchers and industry professionals with guidance on the resilient systems of the future.

  • Internet of Things Cybersecurity in Critical Infrastructures

    Case Studies in Energy Systems
    • 1st Edition
    • Monika Freunek
    • English
    Internet-of-Things Cybersecurity in Critical Infrastructures: Case Studies in Energy Systems takes readers from the basic principles of cybersecurity in essential public infrastructure to the specific requirements of energy systems connected to the Internet-of-Things. This book provides a holistic approach to the challenges (legal, technological, and human) of AI and IOT integration for renewable, modern energy infrastructure. It outlines the fundamental challenges and technologies of cybersecurity for essential infrastructure and goes on to apply this specifically to energy grids and systems, in the light of the ML, AI, and IOT technologies required for renewable integration.Case studies are provided to ensure the reader is fully equipped to problem-solve and apply the knowledge in the development and planning of secure energy infrastructure. Packed with a wealth of practical experience and guidance, this book is a critical resource for energy system engineers looking for a primer on the cybersecurity needs of connected, renewable-integrated energy infrastructure.

  • Reliable Non-Parametric Techniques for Energy System Operation and Control

    Fundamentals and Applications of Constraint Learning and Safe Reinforcement Learning Methods
    • 1st Edition
    • Hongcai Zhang + 3 more
    • English
    Reliable Non-Parametric Techniques for Energy System Operation and Control: Fundamentals and Applications of Constraint Learning and Safe Reinforcement Learning Methods, a new Volume in the Advances in Intelligent Energy Systems, is a comprehensive guide to modern smart methods in energy system operation and control. This book covers fundamental concepts and applications in both deterministic and uncertain environments. It addresses the challenge of accuracy in imbalanced datasets and the limitations of measurements. The book delves into advanced topics such as safe reinforcement learning for energy system control, including training-efficient intrinsic-motivated reinforcement learning, and physical layer-based control, and more. Other chapters cover barrier function-based control and CVaR-based control for systems without hard operation constraints. Designed for graduate students, researchers, and engineers, this book stands out for its practical approach to advanced methods in energy system control, enabling sustainable developments in real-world conditions.

  • Distribution System Modeling with Distributed Energy Resources

    Local Energy Markets, Aggregators, Grid Services, and Flexibility
    • 1st Edition
    • Salah Bahramara + 2 more
    • English
    Distribution System Modeling with Distributed Energy Resources: Local Energy Markets, Aggregators, Grid Services, and Flexibility utilizes a wide range of modeling approaches to support DER integration into the energy grid. The book opens by introducing basic principles and challenges of modern energy systems and the role of DERs in resolving issues, as well as regulatory considerations and frameworks across a variety of distributions. It goes on to demonstrate and evaluate mathematical modeling and optimizing methods, including robust and adaptive robust methods, the two-stage stochastic method, and bi-level optimization approaches.This theory is then applied to a range of test-cases which use the DER aggregator as either price-maker or price-taker, apply Karush-Kahn-Tucker condition, dual theory approaches, and bilateral contacts, TSO-DSO cooperation, and decision-making tools. With a practical, holistic approach, this book supports graduate students, researchers, and industry engineers in energy systems modeling to design sustainable power grids for the future.

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