Paul Chandan (27 results)

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Hardcover. Condition: new. Hardcover. To provide for a sustainable future, the potential synergies at the dynamic intersection of renewable energy (RE) incorporated with smart energy and artificial intelligence (AI) must be exploited. RE is crucial to preserve the environment. Energy involving various systems must be optimized and assessed to provide better performance. However, the design and development of RE systems remains a challenge. Advanced optimization techniques, AI, and machine learning (ML) plays a crucial role in implementing the latest innovative research in the field of renewable energy-integrated electrical systems. This book also describes the practical challenges encountered, and the solutions and future scope to be adopted. Applications of a variety of advanced optimization and AI techniques in the design and development of RE-integrated systems are discussed to provide new solutions in the RE domain.Key features:Discusses modern modeling/control approaches for improving renewable energy integrating artificial intelligence-driven power systemsDescribes the principles and methods of renewable energy generation technologies, and an analysis of their implementation, management, and optimization, and related economic advantagesPresents critical information on the technological design and policy issues that must be taken into considered while implementing a smart gridExplains of the metaheuristic optimization algorithm for complex electrical systems, and the whale optimization algorithm-based multi-objective hydrothermal schedulingCovers the electric vehicle charging station in the distribution network, and transient stability constraint optimal power flow problem using chaotic quasi-oppositional chemical reaction optimizationThe topics covered including microgrids, wind power, solar photo voltaic (PV), optimal power flow (OPF), grid connected inverter, electric vehicle, combined heat and power economic dispatch, FACTS tools for smart energy, harmonic impedance of a salient pole synchronous generator (HI), maximum power point tracking (MPPT) and advanced optimization techniques. Next Generation Artificial Intelligence-Driven Smart and Renewable Energy is ideal for academicians, practitioners, teachers, engineers, industry professionals, researchers, and students in diverse fields, including electrical engineering, electronics and communications engineering, energy, and environmental engineering. This book provides practical challenges encountered, solutions and future scope to be adopted in the fields of renewable energy. Applications of varieties advanced optimization and AI techniques on design and development of renewable energy integrated systems have been discussed. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. The deregulated power industry has been an ideal for the on line control action in the power network. The optimum and marginal generator dispatch is one of the managerial task to eradicate congestion in the transmission lines. So, in my work optimum power f.

Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Provas Kumar Roy received the BE degree in Electrical Engineering from R.E. College, Durgapur, Burdwan, India in 1997 ME degree in Electrical Machine from Jadavpur University, Kolkata, India in 2001 and Ph.D. from NIT Durgapur in 2011. Presently he is w.

Hardcover. Condition: new. Hardcover. To provide for a sustainable future, the potential synergies at the dynamic intersection of renewable energy (RE) incorporated with smart energy and artificial intelligence (AI) must be exploited. RE is crucial to preserve the environment. Energy involving various systems must be optimized and assessed to provide better performance. However, the design and development of RE systems remains a challenge. Advanced optimization techniques, AI, and machine learning (ML) plays a crucial role in implementing the latest innovative research in the field of renewable energy-integrated electrical systems. This book also describes the practical challenges encountered, and the solutions and future scope to be adopted. Applications of a variety of advanced optimization and AI techniques in the design and development of RE-integrated systems are discussed to provide new solutions in the RE domain.Key features:Discusses modern modeling/control approaches for improving renewable energy integrating artificial intelligence-driven power systemsDescribes the principles and methods of renewable energy generation technologies, and an analysis of their implementation, management, and optimization, and related economic advantagesPresents critical information on the technological design and policy issues that must be taken into considered while implementing a smart gridExplains of the metaheuristic optimization algorithm for complex electrical systems, and the whale optimization algorithm-based multi-objective hydrothermal schedulingCovers the electric vehicle charging station in the distribution network, and transient stability constraint optimal power flow problem using chaotic quasi-oppositional chemical reaction optimizationThe topics covered including microgrids, wind power, solar photo voltaic (PV), optimal power flow (OPF), grid connected inverter, electric vehicle, combined heat and power economic dispatch, FACTS tools for smart energy, harmonic impedance of a salient pole synchronous generator (HI), maximum power point tracking (MPPT) and advanced optimization techniques. Next Generation Artificial Intelligence-Driven Smart and Renewable Energy is ideal for academicians, practitioners, teachers, engineers, industry professionals, researchers, and students in diverse fields, including electrical engineering, electronics and communications engineering, energy, and environmental engineering. This book provides practical challenges encountered, solutions and future scope to be adopted in the fields of renewable energy. Applications of varieties advanced optimization and AI techniques on design and development of renewable energy integrated systems have been discussed. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Hardcover. Condition: new. Hardcover. To provide for a sustainable future, the potential synergies at the dynamic intersection of renewable energy (RE) incorporated with smart energy and artificial intelligence (AI) must be exploited. RE is crucial to preserve the environment. Energy involving various systems must be optimized and assessed to provide better performance. However, the design and development of RE systems remains a challenge. Advanced optimization techniques, AI, and machine learning (ML) plays a crucial role in implementing the latest innovative research in the field of renewable energy-integrated electrical systems. This book also describes the practical challenges encountered, and the solutions and future scope to be adopted. Applications of a variety of advanced optimization and AI techniques in the design and development of RE-integrated systems are discussed to provide new solutions in the RE domain.Key features:Discusses modern modeling/control approaches for improving renewable energy integrating artificial intelligence-driven power systemsDescribes the principles and methods of renewable energy generation technologies, and an analysis of their implementation, management, and optimization, and related economic advantagesPresents critical information on the technological design and policy issues that must be taken into considered while implementing a smart gridExplains of the metaheuristic optimization algorithm for complex electrical systems, and the whale optimization algorithm-based multi-objective hydrothermal schedulingCovers the electric vehicle charging station in the distribution network, and transient stability constraint optimal power flow problem using chaotic quasi-oppositional chemical reaction optimizationThe topics covered including microgrids, wind power, solar photo voltaic (PV), optimal power flow (OPF), grid connected inverter, electric vehicle, combined heat and power economic dispatch, FACTS tools for smart energy, harmonic impedance of a salient pole synchronous generator (HI), maximum power point tracking (MPPT) and advanced optimization techniques. Next Generation Artificial Intelligence-Driven Smart and Renewable Energy is ideal for academicians, practitioners, teachers, engineers, industry professionals, researchers, and students in diverse fields, including electrical engineering, electronics and communications engineering, energy, and environmental engineering. This book provides practical challenges encountered, solutions and future scope to be adopted in the fields of renewable energy. Applications of varieties advanced optimization and AI techniques on design and development of renewable energy integrated systems have been discussed. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.

Buch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This book provides practical challenges encountered, solutions and future scope to be adopted in the fields of renewable energy. Applications of varieties advanced optimization and AI techniques on design and development of renewable energy integrated systems have been discussed.

Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Paul BishaljitDr. Bishaljit Paul, HOD (EE) Narula Institute of Technology.Prof (Dr.) Chandan Kumar Chanda Dipartimento di ingegneria elettrica IIESET Shibpur. Prof (Dr.) Jagadish Pal Dipartimento di ingegneria elettrica IIESET Sh.

Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Paul BishaljitDr. Bishaljit Paul, HOD(EE) Narula Institute of Technology.Prof. (Dr.) Chandan Kumar Chanda Abteilung fuer Elektrotechnik IIESET Shibpur. Prof. (Dr.) Jagadish Pal Fachbereich Elektrotechnik IIESET Shibpur.Die der.