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Books in Electric power control and instrumentation

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    • Electric Vehicle Conductive and Wireless Charging Technologies

      • 1st Edition
      • May 1, 2026
      • Yiming Zhang + 1 more
      • English
      • Paperback
        9 7 8 0 4 4 3 4 0 6 2 6 3
      • eBook
        9 7 8 0 4 4 3 4 0 6 2 7 0
      Electric Vehicle Conductive and Wireless Charging Technologies: Power Electronics for Grid Integration provides a comprehensive overview of the latest advancements and challenges in the field of electric vehicle charging technology. This book begins by providing a clear assessment of the research history and context, before proposing a set of implantation standards for both conductive and wireless charging. Each charging technology is given a detailed assessment, and the two are contrasted in a variety of case studies and scenarios. Specific challenges such as wide-voltage-gain efficient conductive charging, and misalignment tolerance and interoperability in wireless charging are presented, with potential solutions. Critically, auxiliary systems from positioning to foreign object detection are put in context, and a practical assessment of integration challenge is provided. Combining theoretical foundation with practical implementation methods, Electric Vehicle Conductive and Wireless Charging Technologies: Power Electronics for Grid Integration equips students, researchers, and engineer with a holistic view of the challenges, cutting-edge research landscape, and integration opportunities related to EV wireless and conductive charging.

    • Intelligent Control in Smart Energy Systems

      • 1st Edition
      • April 1, 2026
      • Satya Prakash Yadav + 3 more
      • English
      • Paperback
        9 7 8 0 4 4 3 3 3 4 6 3 4
      • eBook
        9 7 8 0 4 4 3 3 3 4 6 4 1
      Intelligent Control in Smart Energy Systems provides a clear and practical guide to the implementation of Artificial Intelligent (AI) techniques in modern, sustainable energy systems. Building from essential theory to advanced application processes, this book outlines the essential challenge of control for renewable and distributed energy sources and applies a range of AI solutions from deep learning, data-driven decision-making, advanced control, and optimization algorithms for smart grids. Case studies and latest results cover control across design, development, and operation of smart energy systems, touching on control in generation, distribution, and supply.Catering to newly interdisciplinary researchers as well as those with a basic understanding of AI technologies, this book supports higher-stage undergraduates, graduate students, researchers, and system engineers in implementing best practice control techniques for a sustainable energy grid.

    • Power Converters for Photovoltaic Power Systems

      • 1st Edition
      • March 1, 2026
      • Ahteshamul Haque + 3 more
      • English
      • Paperback
        9 7 8 0 4 4 3 2 9 1 8 4 5
      • eBook
        9 7 8 0 4 4 3 2 9 1 8 5 2
      Power Converters for Photovoltaic Power Systems: Control, Fault Diagnosis, and Reliability Analysis guides readers through the latest technologies and applications of advanced converters for the renewable-integrated energy systems of the future. The book begins with an introduction to the design principles of converters for PV applications and grid synchronization techniques before breaking down complex control strategies for PV systems, including the injection of active and reactive power in solar inverters. Fault detection, analysis, and localization are covered in detail, as are failure modes, risk indices, criticality analysis, and more advanced condition monitoring techniques.Additiona... chapters cover optimizing thermal management to ensure efficient operation and reliability of photovoltaic systems, and thermal control methods for reliable operation and longevity of power electronic converters. Finally, guidance is provided on Digital Twin Integration for condition monitoring of photovoltaic-integra... energy systems.

    • The PyPSA Handbook

      • 1st Edition
      • December 1, 2025
      • Neeraj Dhanraj Bokde + 1 more
      • English
      • Paperback
        9 7 8 0 4 4 3 2 6 6 3 1 7
      • eBook
        9 7 8 0 4 4 3 2 6 6 3 2 4
      The PyPSA Handbook: Integrated Power System Analysis and Renewable Energy Modeling is a comprehensive guide to the landmark open-source platform for modeling modern energy systems. Starting from core concepts in energy system analysis, the book builds a clear theoretical foundation before progressing to advanced topics such as renewable integration, storage, grid expansion, system stability, and future developments. Designed for both newcomers and experienced users, it features layered examples, hands-on exercises, and real-world case studies. This book is an indispensable resource for students, researchers, and energy professionals.

    • Energy-Efficient Transformative Technologies for Data-Driven Smart Cities

      • 1st Edition
      • November 10, 2025
      • Hamed Nozari + 1 more
      • English
      • Paperback
        9 7 8 0 4 4 3 2 7 6 1 8 7
      • eBook
        9 7 8 0 4 4 3 2 7 6 1 9 4
      Energy-Efficient Transformative Technologies for Data-Driven Smart Cities delves into innovative solutions and groundbreaking methodologies essential for constructing smart cities that prioritize energy efficiency and security. With the modern urban landscape rapidly evolving, this book serves as a vital resource for policymakers, engineers, and researchers striving to harness data-driven technologies effectively. From sustainable energy systems to advanced data management frameworks, this comprehensive guide explores pivotal tools and strategies that address the challenges of urbanization and environmental impact.Beyond energy efficiency, the book emphasizes the importance of robust cybersecurity measures, seamless integration of IoT devices, and intelligent urban planning. It offers actionable insights for achieving smart city infrastructures that are both resilient and adaptive.

    • Machine Learning and Data Analysis for Energy Efficiency in Buildings

      • 1st Edition
      • September 17, 2025
      • Tianyi Zhao + 2 more
      • English
      • Paperback
        9 7 8 0 4 4 3 2 8 9 5 3 8
      • eBook
        9 7 8 0 4 4 3 2 8 9 5 4 5
      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
      • September 16, 2025
      • Shiwei Xie + 3 more
      • English
      • Paperback
        9 7 8 0 4 4 3 3 3 6 7 1 3
      • eBook
        9 7 8 0 4 4 3 3 3 6 7 2 0
      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
      • September 12, 2025
      • Supriya Jaiswal + 2 more
      • English
      • Paperback
        9 7 8 0 4 4 3 3 0 1 4 0 7
      • eBook
        9 7 8 0 4 4 3 3 0 1 4 1 4
      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.

    • Microgrid Technology and Microgrid Cluster Development

      • 1st Edition
      • July 25, 2025
      • Baseem Khan + 2 more
      • English
      • Paperback
        9 7 8 0 4 4 3 1 3 6 8 5 6
      • eBook
        9 7 8 0 4 4 3 1 3 6 8 6 3
      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.

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

      • 1st Edition
      • July 4, 2025
      • Hongcai Zhang + 3 more
      • English
      • Paperback
        9 7 8 0 4 4 3 3 6 4 9 2 1
      • eBook
        9 7 8 0 4 4 3 3 6 4 9 3 8
      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.