Gulshan Sharma – författare

The text provides insight into renewable technologies, and their challenges in terms of design, efficiency, implementation, and solutions to mitigate the problem of energy crisis. It will help the readers to understand the role of the fourth industrial revolution technologies in developing user-friendly, economic, and implementable solutions to mitigate the present and future energy crisis through cleaner and renewable technologies.Discusses electric energy transportation systems, electricity distribution systems, demand response, metering, smart grids, and cyber-security.Covers electric vehicles, vehicle-to-grid technologies, charging-while-driving technology for future roads and highways, and autonomous mobile robots.Presents data-driven modeling, forecasting, and optimization techniques of power and energy systems.Illustrates energy storage technologies, energy-efficient systems, power conversion topologies, and related control techniques.Explains the design of control algorithms for solar systems and the design of efficient energy management for solar power.The text is primarily written for senior undergraduates, graduate students, and academic researchers in the fields of electrical engineering, electronics and communications engineering, energy, environmental engineering, computer science, and engineering.

The text provides insight into renewable technologies, and their challenges in terms of design, efficiency, implementation, and solutions to mitigate the problem of energy crisis. It will help the readers to understand the role of the fourth industrial revolution technologies in developing user-friendly, economic, and implementable solutions to mitigate the present and future energy crisis through cleaner and renewable technologies.

Discusses electric energy transportation systems, electricity distribution systems, demand response, metering, smart grids, and cyber-security. Covers electric vehicles, vehicle-to-grid technologies, charging-while-driving technology for future roads and highways, and autonomous mobile robots. Presents data-driven modeling, forecasting, and optimization techniques of power and energy systems. Illustrates energy storage technologies, energy-efficient systems, power conversion topologies, and related control techniques. Explains the design of control algorithms for solar systems and the design of efficient energy management for solar power.

The text is primarily written for senior undergraduates, graduate students, and academic researchers in the fields of electrical engineering, electronics and communications engineering, energy, environmental engineering, computer science, and engineering.

The text provides insight into renewable technologies, and their challenges in terms of design, efficiency, implementation, and solutions to mitigate the problem of energy crisis. It will help the readers to understand the role of the fourth industrial revolution technologies in developing user-friendly, economic, and implementable solutions to mitigate the present and future energy crisis through cleaner and renewable technologies.

Discusses electric energy transportation systems, electricity distribution systems, demand response, metering, smart grids, and cyber-security. Covers electric vehicles, vehicle-to-grid technologies, charging-while-driving technology for future roads and highways, and autonomous mobile robots. Presents data-driven modeling, forecasting, and optimization techniques of power and energy systems. Illustrates energy storage technologies, energy-efficient systems, power conversion topologies, and related control techniques. Explains the design of control algorithms for solar systems and the design of efficient energy management for solar power.

The text is primarily written for senior undergraduates, graduate students, and academic researchers in the fields of electrical engineering, electronics and communications engineering, energy, environmental engineering, computer science, and engineering.

This book offers a practical, implementation-ready guide to operating and controlling contemporary power systems with high renewable energy penetration. It addresses real-world challenges such as frequency regulation, dynamic economic emission dispatch, demand side management, PHEV integration, and virtual power plant optimization.This book:Highlights the operational and regulatory challenges associated with the increasing integration of renewable energy sources. Presents advanced mathematical models and cutting-edge machine learning methodologies to tackle intricate issues in control, forecasting, and optimization within modern power systems. Provides an excellent foundation for the core concepts and applications of artificial intelligence and machine learning solutions in the operation and control of contemporary power systems. Discusses strategies to address the challenges of variability, intermittency, and integration encountered with renewable energy sources.Showcases a detailed overview of advanced control strategies, self-healing methodologies, hybrid demand-side management techniques, and sophisticated scheduling algorithms. It is primarily written for senior undergraduates, graduate students, and academic researchers in electrical engineering, electronics and communication engineering, computer engineering, renewable energy, clean technologies, and environmental engineering.

This book emphasizes the critical need for a multi-dimensional approach to tackling energy poverty, advocating for an integrated strategy that addresses three interconnected dimensions: availability, accessibility, and affordability. It introduces a robust Multi-Criteria Decision-Making (MCDM) framework based on a dynamic model that links off-grid energy supply to rural households primarily engaged in crop farming as a key economic activity.The framework leverages the Non-Dominated Sorting Genetic Algorithm II (NDSGA-II), a powerful multi-objective optimization technique, to balance the trade-offs between costs and revenues, ensuring the sustainable delivery of energy services to rural communities. By underscoring the interplay between availability, accessibility, and affordability, the approach reveals that while costs are primarily associated with securing energy availability, revenues are essential for enhancing both accessibility and affordability.This comprehensive and holistic strategy offers an innovative solution to the multifaceted challenges of energy poverty in rural areas, ensuring long-term sustainability and economic viability.

This book emphasizes the critical need for a multi-dimensional approach to tackling energy poverty, advocating for an integrated strategy that addresses three interconnected dimensions: availability, accessibility, and affordability. It introduces a robust Multi-Criteria Decision-Making (MCDM) framework based on a dynamic model that links off-grid energy supply to rural households primarily engaged in crop farming as a key economic activity.The framework leverages the Non-Dominated Sorting Genetic Algorithm II (NDSGA-II), a powerful multi-objective optimization technique, to balance the trade-offs between costs and revenues, ensuring the sustainable delivery of energy services to rural communities. By underscoring the interplay between availability, accessibility, and affordability, the approach reveals that while costs are primarily associated with securing energy availability, revenues are essential for enhancing both accessibility and affordability.This comprehensive and holistic strategy offers an innovative solution to the multifaceted challenges of energy poverty in rural areas, ensuring long-term sustainability and economic viability.