Renewable Energy Optimization, Planning and Control
Renewable Energy Optimization, Planning and Control

Author: Anita Khosla

Publisher: Springer Nature

Published: 2021-09-28

Total Pages: 188

ISBN-13: 9811646635

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This book gathers selected high-quality research papers presented at International Conference on Renewable Technologies in Engineering (ICRTE 2021) organized by Manav Rachna International Institute of Research & Studies, Faridabad, Haryana, India, during 15–16 April 2021. The book includes conference papers on the theme “Computational Techniques for Renewable Energy Optimization”, which aims to bring together leading academic scientists, researchers and research scholars to exchange and share their experiences and research results on all aspects of renewable energy integration, planning, control and optimization. It also provides a premier interdisciplinary platform for researchers, practitioners and educators to present and discuss the most recent innovations, trends and concerns as well as practical challenges encountered and solutions adopted in the fields of renewable energy and resources.

Renewable Energy Systems
Renewable Energy Systems

Author: Ahmad Taher Azar

Publisher: Academic Press

Published: 2021-09-09

Total Pages: 734

ISBN-13: 0128203986

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Renewable Energy Systems: Modelling, Optimization and Control aims to cross-pollinate recent advances in the study of renewable energy control systems by bringing together diverse scientific breakthroughs on the modeling, control and optimization of renewable energy systems by leading researchers. The book brings together the most comprehensive collection of modeling, control theorems and optimization techniques to help solve many scientific issues for researchers in renewable energy and control engineering. Many multidisciplinary applications are discussed, including new fundamentals, modeling, analysis, design, realization and experimental results. The book also covers new circuits and systems to help researchers solve many nonlinear problems. This book fills the gaps between different interdisciplinary applications, ranging from mathematical concepts, modeling, and analysis, up to the realization and experimental work. - Covers modeling, control theorems and optimization techniques which will solve many scientific issues for researchers in renewable energy - Discusses many multidisciplinary applications with new fundamentals, modeling, analysis, design, realization and experimental results - Includes new circuits and systems, helping researchers solve many nonlinear problems

Renewable Energy Optimization, Planning and Control
Renewable Energy Optimization, Planning and Control

Author: Anita Khosla

Publisher: Springer Nature

Published: 2023-03-07

Total Pages: 467

ISBN-13: 981198963X

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This book gathers selected high-quality research papers presented at International Conference on Renewable Technologies in Engineering (ICRTE 2022) organized by Manav Rachna International Institute of Research & Studies, Faridabad, Haryana, India, during October 7–8, 2022. The book includes conference papers on the theme ‘Computational Techniques for Renewable Energy Optimization,’ which aims to bring together leading academic scientists, researchers, and research scholars to exchange and share their experiences and research results on all aspects of renewable energy integration, planning, control, and optimization. It also provides a premier interdisciplinary platform for researchers, practitioners, and educators to present and discuss the most recent innovations, trends, and concerns as well as practical challenges encountered and solutions adopted in the fields of renewable energy and resources.

Optimal Planning of Smart Grid With Renewable Energy Resources
Optimal Planning of Smart Grid With Renewable Energy Resources

Author: Jain, Naveen

Publisher: IGI Global

Published: 2021-12-10

Total Pages: 294

ISBN-13: 1668440148

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Understanding the recent developments in renewable energy is crucial for a range of fields in today’s society. As environmental awareness and the need for a more sustainable future continues to grow, the uses of renewable energy, particularly in areas such as smart grid, must be considered and studied thoroughly to be implemented successfully and move society toward a more sustainable future. Optimal Planning of Smart Grid With Renewable Energy Resources offers a detailed guide to the new problems and opportunities for sustainable growth in engineering by focusing on modeling diverse problems occurring in science and engineering as well as novel effective theoretical methods and robust optimization theories, which can be used to analyze and solve multiple types of problems. Covering topics such as electric drives and energy systems, this publication is ideal for researchers, academicians, industry professionals, engineers, scholars, instructors, and students.

Optimization of the Fuel Cell Renewable Hybrid Power Systems
Optimization of the Fuel Cell Renewable Hybrid Power Systems

Author: Nicu Bizon

Publisher: Springer

Published: 2021-02-12

Total Pages: 336

ISBN-13: 9783030402433

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This book offers a comprehensive review of renewable energy sources and optimization strategies in hybrid power systems (HPSs). It analyses the main issues and challenges in the renewable (REW) HPS field, particularly those using fuel cell (FC) systems as their main source of energy. It then offers innovative solutions to these issues, comparing them to solutions currently found in the literature. The book discusses optimization algorithms and energy management strategies. The focus is chiefly on FC net power maximization and fuel economy strategies based on global optimization. The last two chapters discuss energy harvesting from photovoltaic systems and how to mitigate energy variability in REW FC HPS. The main content is supplemented by numerous examples and simulations. Academics, students and practitioners in relevant industrial branches interested in REW HPS finds it of considerable interest, as a reference book or for building their own HPSs based on the examples provided.

Analytics and Optimization for Renewable Energy Integration
Analytics and Optimization for Renewable Energy Integration

Author: Ning Zhang

Publisher: CRC Press

Published: 2019-02-21

Total Pages: 317

ISBN-13: 0429847696

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The scope of this book covers the modeling and forecast of renewable energy and operation and planning of power system with renewable energy integration.The first part presents mathematical theories of stochastic mathematics; the second presents modeling and analytic techniques for renewable energy generation; the third provides solutions on how to handle the uncertainty of renewable energy in power system operation. It includes advanced stochastic unit commitment models to acquire the optimal generation schedule under uncertainty, efficient algorithms to calculate the probabilistic power, and an efficient operation strategy for renewable power plants participating in electricity markets.

Research Anthology on Clean Energy Management and Solutions
Research Anthology on Clean Energy Management and Solutions

Author: Information Resources Management Association

Publisher: Engineering Science Reference

Published: 2021-06-25

Total Pages: 2250

ISBN-13: 9781799891529

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Energy usage and consumption continue to rise globally each year, with the most efficient and cost-effective energy sources causing huge impacts to the environment. In an effort to mitigate harmful effects to the environment, implementing clean energy resources and utilizing green energy management strategies have become worldwide initiatives, with many countries from all regions quickly becoming leaders in renewable energy usage. Still, not every energy resource is without flaws. Researchers must develop effective and low-cost strategies for clean energy in order to find the balance between production and consumption. The Research Anthology on Clean Energy Management and Solutions provides in-depth research that explores strategies and techniques used in the energy production field to optimize energy efficiency in order to maintain clean and safe use while delivering ample energy coverage. The anthology also seeks solutions to energy that have not yet been optimized or are still produced in a way that is harmful to the environment. Covering topics such as hydrogen fuel cells, renewable energy, solar power, solar systems, cost savings, and climate protection, this text is essential for electrical engineers, nuclear engineers, environmentalists, managers, policymakers, government officials, professionals in the energy industry, researchers, academicians, and students looking for the latest research on clean energy management.

Intelligent Renewable Energy Systems
Intelligent Renewable Energy Systems

Author: Neeraj Priyadarshi

Publisher: John Wiley & Sons

Published: 2022-01-19

Total Pages: 484

ISBN-13: 1119786274

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INTELLIGENT RENEWABLE ENERGY SYSTEMS This collection of papers on artificial intelligence and other methods for improving renewable energy systems, written by industry experts, is a reflection of the state of the art, a must-have for engineers, maintenance personnel, students, and anyone else wanting to stay abreast with current energy systems concepts and technology. Renewable energy is one of the most important subjects being studied, researched, and advanced in today’s world. From a macro level, like the stabilization of the entire world’s economy, to the micro level, like how you are going to heat or cool your home tonight, energy, specifically renewable energy, is on the forefront of the discussion. This book illustrates modelling, simulation, design and control of renewable energy systems employed with recent artificial intelligence (AI) and optimization techniques for performance enhancement. Current renewable energy sources have less power conversion efficiency because of its intermittent and fluctuating behavior. Therefore, in this regard, the recent AI and optimization techniques are able to deal with data ambiguity, noise, imprecision, and nonlinear behavior of renewable energy sources more efficiently compared to classical soft computing techniques. This book provides an extensive analysis of recent state of the art AI and optimization techniques applied to green energy systems. Subsequently, researchers, industry persons, undergraduate and graduate students involved in green energy will greatly benefit from this comprehensive volume, a must-have for any library. Audience Engineers, scientists, managers, researchers, students, and other professionals working in the field of renewable energy.

Handbook of Research on Power and Energy System Optimization
Handbook of Research on Power and Energy System Optimization

Author: Kumar, Pawan

Publisher: IGI Global

Published: 2018-03-16

Total Pages: 777

ISBN-13: 1522539360

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In recent years, the development of advanced structures for providing sustainable energy has been a topic at the forefront of public and political conversation. Many are looking for advancements on pre-existing sources and new and viable energy options to maintain a modern lifestyle. The Handbook of Research on Power and Energy System Optimization is a critical scholarly resource that examines the usage of energy in relation to the perceived standard of living within a country and explores the importance of energy structure augmentation. Featuring coverage on a wide range of topics including energy management, micro-grid, and distribution generation, this publication is targeted towards researchers, academicians, and students seeking relevant research on the augmentation of current energy structures to support existing standards of living.

Robo-Advisors in Management
Robo-Advisors in Management

Author: Gupta, Swati

Publisher: IGI Global

Published: 2024-04-22

Total Pages: 426

ISBN-13:

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In the ever-evolving landscape of management, the introduction of robo-advisors has introduced challenges and opportunities that require careful examination. Organizations grapple with the profound impact of these automated systems on decision-making processes, resource allocation, and strategic planning. The need for a comprehensive understanding of how robo-advisors integrate into various management functions and sectors has become paramount. Decision-makers, researchers, and students seeking clarity in this transformative period are faced with a shortage of literature that bridges theoretical insights with practical applications. Robo-Advisors in Management stand out as a pioneering solution to this crucial gap in the existing body of knowledge. This book does not merely explore the challenges presented by robo-advisors; it delves into the heart of these challenges and navigates the diverse applications of these technologies in sectors ranging from wealth management to healthcare and real estate. By seamlessly blending theoretical foundations with real-world scenarios, the book equips both professionals and academics with the tools needed to comprehend and harness the potential of robo-advisors. It is an invaluable resource for decision-makers looking to optimize their strategies, researchers seeking in-depth insights, and students aspiring to navigate the intersection of management and fintech.