Smart Energy Management: A Computational Approach
Smart Energy Management: A Computational Approach

Author: Krithi Ramamritham

Publisher: World Scientific

Published: 2021-12-28

Total Pages: 312

ISBN-13: 9811252300

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The focus of this book is smart energy management with the recurring theme being the use of computational and data-driven methods that use requirements/measurement/monitoring data to drive actuation/control, optimization, and resource management. The computational perspective is applied to manage energy, with an emphasis on smart buildings and the smart electric grids.The book also presents computational thinking and techniques such as inferencing and learning for energy management. To this end, this book is designed to help understand the recent research trends in energy management, focusing specifically on the efforts to increase energy efficiency of buildings, campuses, and cities.

Smart Energy Grid Engineering
Smart Energy Grid Engineering

Author: Hossam Gabbar

Publisher: Academic Press

Published: 2016-10-12

Total Pages: 570

ISBN-13: 0128092327

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Smart Energy Grid Engineering provides in-depth detail on the various important engineering challenges of smart energy grid design and operation by focusing on advanced methods and practices for designing different components and their integration within the grid. Governments around the world are investing heavily in smart energy grids to ensure optimum energy use and supply, enable better planning for outage responses and recovery, and facilitate the integration of heterogeneous technologies such as renewable energy systems, electrical vehicle networks, and smart homes around the grid. By looking at case studies and best practices that illustrate how to implement smart energy grid infrastructures and analyze the technical details involved in tackling emerging challenges, this valuable reference considers the important engineering aspects of design and implementation, energy generation, utilization and energy conservation, intelligent control and monitoring data analysis security, and asset integrity. - Includes detailed support to integrate systems for smart grid infrastructures - Features global case studies outlining design components and their integration within the grid - Provides examples and best practices from industry that will assist in the migration to smart grids

Big Data Analytics
Big Data Analytics

Author: P. Krishna Reddy

Publisher: Springer

Published: 2017-12-04

Total Pages: 316

ISBN-13: 3319724134

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This book constitutes the refereed conference proceedings of the 5th International Conference on Big Data Analytics, BDA 2017, held in Hyderabad, India, in December 2017. The 21 revised full papers were carefully reviewed and selected from 80 submissions and cover topics on big data analytics, information and knowledge management, mining of massive datasets, computational modeling, data mining and analysis.

Energy Management—Collective and Computational Intelligence with Theory and Applications
Energy Management—Collective and Computational Intelligence with Theory and Applications

Author: Cengiz Kahraman

Publisher: Springer

Published: 2018-03-21

Total Pages: 548

ISBN-13: 3319756907

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This book presents a selection of recently developed collective and computational intelligence techniques, which it subsequently applies to energy management problems ranging from performance analysis to economic analysis, and from strategic analysis to operational analysis, with didactic numerical examples. As a form of intelligence emerging from the collaboration and competition of individuals, collective and computational intelligence addresses new methodological, theoretical, and practical aspects of complex energy management problems. The book offers an excellent reference guide for practitioners, researchers, lecturers and postgraduate students pursuing research on intelligence in energy management. The contributing authors are recognized researchers in the energy research field.

Applied Operations Research and Financial Modelling in Energy
Applied Operations Research and Financial Modelling in Energy

Author: André B. Dorsman

Publisher: Springer Nature

Published: 2021-10-12

Total Pages: 283

ISBN-13: 3030849813

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This book on Applied Operations Research and Financial Modelling in Energy (AORFME) presents several applications of operations research (OR) and financial modelling. The contributions by a group of OR and Finance researchers focus on a variety of energy decisions, presenting a quantitative perspective, and providing policy implications of the proposed or applied methodologies. The content is divided into three main parts: Applied OR I: Optimization Approaches, Applied OR II: Forecasting Approaches and Financial Modelling: Impacts of Energy Policies and Developments in Energy Markets. The book appeals to scholars in economics, finance and operations research, and to practitioners working in the energy sector. This is the eighth volume in a series of books on energy organized by the Centre for Energy and Value Issues (CEVI). For this volume, CEVI collaborated with Hacettepe University’s Energy Markets Research and Application Center. The previous volumes in the series are: Financial Aspects in Energy (2011), Energy Economics and Financial Markets (2012), Perspectives on Energy Risk (2014), Energy Technology and Valuation Issues (2015), Energy and Finance (2016), Energy Economy, Finance and Geostrategy (2018), and Financial Implications of Regulations in the Energy Industry (2020).

Computational Methods in Science and Technology
Computational Methods in Science and Technology

Author: Sukhpreet Kaur

Publisher: CRC Press

Published: 2024-10-10

Total Pages: 595

ISBN-13: 1040260578

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This book contains the proceedings of the 4TH International Conference on Computational Methods in Science and Technology (ICCMST 2024). The proceedings explores research and innovation in the field of Internet of things, Cloud Computing, Machine Learning, Networks, System Design and Methodologies, Big Data Analytics and Applications, ICT for Sustainable Environment, Artificial Intelligence and it provides real time assistance and security for advanced stage learners, researchers and academicians has been presented. This will be a valuable read to researchers, academicians, undergraduate students, postgraduate students, and professionals within the fields of Computer Science, Sustainability and Artificial Intelligence.

Computational Modelling in Industry 4.0
Computational Modelling in Industry 4.0

Author: Irfan Ali

Publisher: Springer Nature

Published: 2022-02-12

Total Pages: 374

ISBN-13: 9811677239

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This book addresses the different problems, practices, challenges and opportunities in sustainable resource management with the help of decision-making techniques to showcase the relevance of computational modelling approaches in sustainable management and Industry 4.0. It aims to address the inherent complexity of managing ecosystems, particularly with respect to involvement of multi-stakeholders, lack of information and uncertainties. Critical analyses are made to point out the need for, and propose a call to, a new way of thinking about sustainable resource management. This book will be useful for academicians, researchers, and industrialists in the field of industrial and production engineering.

Intelligent Control and Smart Energy Management
Intelligent Control and Smart Energy Management

Author: Maude Josée Blondin

Publisher: Springer Nature

Published: 2022-05-28

Total Pages: 434

ISBN-13: 3030844749

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This volume aims to provide a state-of-the-art and the latest advancements in the field of intelligent control and smart energy management. Techniques, combined with technological advances, have enabled the deployment of new operating systems in many engineering applications, especially in the domain of transport and renewable resources. The control and energy management of transportation and renewable resources are shifting towards autonomous reasoning, learning, planning and operating. As a result, these techniques, also referred to as autonomous control and energy management, will become practically ubiquitous soon. The discussions include methods, based on neural control (and others) as well as distributed and intelligent optimization. While the theoretical concepts are detailed and explained, the techniques presented are tailored to transport and renewable resources applications, such as smart grids and automated vehicles. The reader will grasp the most important theoretical concepts as well as to fathom the challenges and needs related to timely practical applications. Additional content includes research perspectives and future direction as well as insight into the devising of techniques that will meet tomorrow’s scientific needs. This contributed volume is for researchers, graduate students, engineers and practitioners in the domains of control, energy, and transportation.

Control and Optimization Methods for Electric Smart Grids
Control and Optimization Methods for Electric Smart Grids

Author: Aranya Chakrabortty

Publisher: Springer Science & Business Media

Published: 2011-12-17

Total Pages: 377

ISBN-13: 1461416051

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Control and Optimization Methods for Electric Smart Grids brings together leading experts in power, control and communication systems, and consolidates some of the most promising recent research in smart grid modeling, control and optimization in hopes of laying the foundation for future advances in this critical field of study. The contents comprise eighteen essays addressing wide varieties of control-theoretic problems for tomorrow’s power grid. Topics covered include control architectures for power system networks with large-scale penetration of renewable energy and plug-in vehicles, optimal demand response, new modeling methods for electricity markets, cyber-security,data analysis and wide-area control using synchronized phasor measurements.

Computational Statistics and Mathematical Modeling Methods in Intelligent Systems
Computational Statistics and Mathematical Modeling Methods in Intelligent Systems

Author: Radek Silhavy

Publisher: Springer Nature

Published: 2019-09-19

Total Pages: 437

ISBN-13: 303031362X

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This book presents real-world problems and exploratory research in computational statistics, mathematical modeling, artificial intelligence and software engineering in the context of the intelligent systems. This book constitutes the refereed proceedings of the 3rd Computational Methods in Systems and Software 2019 (CoMeSySo 2019), a groundbreaking online conference that provides an international forum for discussing the latest high-quality research results.