Multi Objective Optimization Of Industrial Power Generation Systems Emerging Research And Opportunities

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Multi-Objective Optimization of Industrial Power Generation Systems: Emerging Research and Opportunities

Ganesan, Timothy
Multi Objective Optimization of Industrial Power Generation Systems Emerging Research and Opportunities Book PDF

Author : Ganesan, Timothy
Publisher : IGI Global
Page : 233 pages
File Size : 53,8 Mb
Release : 2019-12-27
Category : Technology & Engineering
ISBN : 9781799817123

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Multi-Objective Optimization of Industrial Power Generation Systems: Emerging Research and Opportunities by Ganesan, Timothy Pdf

The increased complexity of the economy in recent years has led to the advancement of energy generation systems. Engineers in this industrial sector have been compelled to seek contemporary methods to keep pace with the rapid development of these systems. Computational intelligence has risen as a capable method that can effectively resolve complex scenarios within the power generation sector. In-depth research on the various applications of this technology is lacking, as engineering professionals need up-to-date information on how to successfully utilize computational intelligence in industrial systems. Multi-Objective Optimization of Industrial Power Generation Systems: Emerging Research and Opportunities provides emerging research exploring the theoretical and practical aspects of the application of intelligent optimization techniques within industrial energy systems. Featuring coverage on a broad range of topics such as swarm intelligence, renewable energy, and predictive modeling, this book is ideally designed for industrialists, engineers, industry professionals, researchers, students, and academics seeking current research on computational intelligence frameworks within the power generation sector.

Advances of Artificial Intelligence in a Green Energy Environment

Pandian Vasant,Joshua Thomas,Elias Munapo,Gerhard-Wilhelm Weber
Advances of Artificial Intelligence in a Green Energy Environment Book PDF

Author : Pandian Vasant,Joshua Thomas,Elias Munapo,Gerhard-Wilhelm Weber
Publisher : Academic Press
Page : 416 pages
File Size : 47,5 Mb
Release : 2022-05-20
Category : Science
ISBN : 9780323885744

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Advances of Artificial Intelligence in a Green Energy Environment by Pandian Vasant,Joshua Thomas,Elias Munapo,Gerhard-Wilhelm Weber Pdf

Advances of Artificial Intelligence in a Green Energy Environment reviews the new technologies in intelligent computing and AI that are reducing the dimension of data coverage worldwide. This handbook describes intelligent optimization algorithms that can be applied in various branches of energy engineering where uncertainty is a major concern. Including AI methodologies and applying advanced evolutionary algorithms to real-world application problems for everyday life applications, this book considers distributed energy systems, hybrid renewable energy systems using AI methods, and new opportunities in blockchain technology in smart energy. Covering state-of-the-art developments in a fast-moving technology, this reference is useful for engineering students and researchers interested and working in the AI industry. Looks at new techniques in artificial intelligence (AI) reducing the dimension of data coverage worldwide Chapters include AI methodologies using enhanced hybrid swarm-based optimization algorithms Includes flowchart diagrams for exampling optimizing techniques

Artificial Intelligence in Industry 4.0 and 5G Technology

Pandian Vasant,Elias Munapo,J. Joshua Thomas,Gerhard-Wilhelm Weber
Artificial Intelligence in Industry 4 0 and 5G Technology Book PDF

Author : Pandian Vasant,Elias Munapo,J. Joshua Thomas,Gerhard-Wilhelm Weber
Publisher : John Wiley & Sons
Page : 356 pages
File Size : 44,6 Mb
Release : 2022-06-30
Category : Computers
ISBN : 9781119798781

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Artificial Intelligence in Industry 4.0 and 5G Technology by Pandian Vasant,Elias Munapo,J. Joshua Thomas,Gerhard-Wilhelm Weber Pdf

Artificial Intelligence in Industry 4.0 and 5G Technology Explores innovative and value-added solutions for application problems in the commercial, business, and industry sectors As the pace of Artificial Intelligence (AI) technology innovation continues to accelerate, identifying the appropriate AI capabilities to embed in key decision processes has never been more critical to establishing competitive advantage. New and emerging analytics tools and technologies can be configured to optimize business value, change how an organization gains insights, and significantly improve the decision-making process across the enterprise. Artificial Intelligence in Industry 4.0 and 5G Technology helps readers solve real-world technological engineering optimization problems using evolutionary and swarm intelligence, mathematical programming, multi-objective optimization, and other cutting-edge intelligent optimization methods. Contributions from leading experts in the field present original research on both the theoretical and practical aspects of implementing new AI techniques in a variety of sectors, including Big Data analytics, smart manufacturing, renewable energy, smart cities, robotics, and the Internet of Things (IoT). Presents detailed information on meta-heuristic applications with a focus on technology and engineering sectors such as smart manufacturing, smart production, innovative cities, and 5G networks. Offers insights into the use of metaheuristic strategies to solve optimization problems in business, economics, finance, and industry where uncertainty is a factor. Provides guidance on implementing metaheuristics in different applications and hybrid technological systems. Describes various AI approaches utilizing hybrid meta-heuristics optimization algorithms, including meta-search engines for innovative research and hyper-heuristics algorithms for performance measurement. Artificial Intelligence in Industry 4.0 and 5G Technology is a valuable resource for IT specialists, industry professionals, managers and executives, researchers, scientists, engineers, and advanced students an up-to-date reference to innovative computing, uncertainty management, and optimization approaches.

Additive Manufacturing Applications for Metals and Composites

Balasubramanian, K.R.,Senthilkumar, V.
Additive Manufacturing Applications for Metals and Composites Book PDF

Author : Balasubramanian, K.R.,Senthilkumar, V.
Publisher : IGI Global
Page : 348 pages
File Size : 47,7 Mb
Release : 2020-06-19
Category : Technology & Engineering
ISBN : 9781799840558

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Additive Manufacturing Applications for Metals and Composites by Balasubramanian, K.R.,Senthilkumar, V. Pdf

Additive manufacturing (AM) of metals and composites using laser energy, direct energy deposition, electron beam methods, and wire arc melting have recently gained importance due to their advantages in fabricating the complex structure. Today, it has become possible to reliably manufacture dense parts with certain AM processes for many materials, including steels, aluminum and titanium alloys, superalloys, metal-based composites, and ceramic matrix composites. In the near future, the AM material variety will most likely grow further, with high-performance materials such as intermetallic compounds and high entropy alloys already under investigation. Additive Manufacturing Applications for Metals and Composites is a pivotal reference source that provides vital research on advancing methods and technological developments within additive manufacturing practices. Special attention is paid to the material design of additive manufacturing of parts, the choice of feedstock materials, the metallurgical behavior and synthesis principle during the manufacturing process, and the resulted microstructures and properties, as well as the relationship between these factors. While highlighting topics such as numerical modeling, intermetallic compounds, and statistical techniques, this publication is ideally designed for students, engineers, researchers, manufacturers, technologists, academicians, practitioners, scholars, and educators.

Developing and Monitoring Smart Environments for Intelligent Cities

Mahmood, Zaigham
Developing and Monitoring Smart Environments for Intelligent Cities Book PDF

Author : Mahmood, Zaigham
Publisher : IGI Global
Page : 367 pages
File Size : 45,7 Mb
Release : 2020-11-20
Category : Political Science
ISBN : 9781799850632

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Developing and Monitoring Smart Environments for Intelligent Cities by Mahmood, Zaigham Pdf

In recent years, intelligent cities, also known as smart cities or cognitive cities, have become a perceived solution for improving the quality of life of citizens while boosting the efficiency of city services and processes. This new vision involves the integration of various sectors of society through the use of the internet of things. By continuing to enhance research for the better development of the smart environments needed to sustain intelligent cities, citizens will be empowered to provision the e-services provided by the city, city officials will have the ability to interact directly with the community as well as monitor digital environments, and smart communities will be developed where citizens can enjoy improved quality of life. Developing and Monitoring Smart Environments for Intelligent Cities compiles the latest research on the development, management, and monitoring of digital cities and intelligent environments into one complete reference source. The book contains chapters that examine current technologies and the future use of internet of things frameworks as well as device connectivity approaches, communication protocols, security challenges, and their inherent issues and limitations. Including unique coverage on topics such as connected vehicles for smart transportation, security issues for smart homes, and building smart cities for the blind, this reference is ideal for practitioners, urban developers, urban planners, academicians, researchers, and students.

Data-Driven Optimization of Manufacturing Processes

Kalita, Kanak,Ghadai, Ranjan Kumar,Gao, Xiao-Zhi
Data Driven Optimization of Manufacturing Processes Book PDF

Author : Kalita, Kanak,Ghadai, Ranjan Kumar,Gao, Xiao-Zhi
Publisher : IGI Global
Page : 298 pages
File Size : 41,5 Mb
Release : 2020-12-25
Category : Technology & Engineering
ISBN : 9781799872085

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Data-Driven Optimization of Manufacturing Processes by Kalita, Kanak,Ghadai, Ranjan Kumar,Gao, Xiao-Zhi Pdf

All machining process are dependent on a number of inherent process parameters. It is of the utmost importance to find suitable combinations to all the process parameters so that the desired output response is optimized. While doing so may be nearly impossible or too expensive by carrying out experiments at all possible combinations, it may be done quickly and efficiently by using computational intelligence techniques. Due to the versatile nature of computational intelligence techniques, they can be used at different phases of the machining process design and optimization process. While powerful machine-learning methods like gene expression programming (GEP), artificial neural network (ANN), support vector regression (SVM), and more can be used at an early phase of the design and optimization process to act as predictive models for the actual experiments, other metaheuristics-based methods like cuckoo search, ant colony optimization, particle swarm optimization, and others can be used to optimize these predictive models to find the optimal process parameter combination. These machining and optimization processes are the future of manufacturing. Data-Driven Optimization of Manufacturing Processes contains the latest research on the application of state-of-the-art computational intelligence techniques from both predictive modeling and optimization viewpoint in both soft computing approaches and machining processes. The chapters provide solutions applicable to machining or manufacturing process problems and for optimizing the problems involved in other areas of mechanical, civil, and electrical engineering, making it a valuable reference tool. This book is addressed to engineers, scientists, practitioners, stakeholders, researchers, academicians, and students interested in the potential of recently developed powerful computational intelligence techniques towards improving the performance of machining processes.

Handbook of Research on Developing Smart Cities Based on Digital Twins

Del Giudice, Matteo,Osello, Anna
Handbook of Research on Developing Smart Cities Based on Digital Twins Book PDF

Author : Del Giudice, Matteo,Osello, Anna
Publisher : IGI Global
Page : 674 pages
File Size : 40,9 Mb
Release : 2021-01-15
Category : Political Science
ISBN : 9781799870937

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Handbook of Research on Developing Smart Cities Based on Digital Twins by Del Giudice, Matteo,Osello, Anna Pdf

The advent of connected, smart technologies for the built environment may promise a significant value that has to be reached to develop digital city models. At the international level, the role of digital twin is strictly related to massive amounts of data that need to be processed, which proposes several challenges in terms of digital technologies capability, computing, interoperability, simulation, calibration, and representation. In these terms, the development of 3D parametric models as digital twins to evaluate energy assessment of private and public buildings is considered one of the main challenges of the last years. The ability to gather, manage, and communicate contents related to energy saving in buildings for the development of smart cities must be considered a specificity in the age of connection to increase citizen awareness of these fields. The Handbook of Research on Developing Smart Cities Based on Digital Twins contains in-depth research focused on the description of methods, processes, and tools that can be adopted to achieve smart city goals. The book presents a valid medium for disseminating innovative data management methods related to smart city topics. While highlighting topics such as data visualization, a web-based ICT platform, and data-sharing methods, this book is ideally intended for researchers in the building industry, energy, and computer science fields; public administrators; building managers; and energy professionals along with practitioners, stakeholders, researchers, academicians, and students interested in the implementation of smart technologies for the built environment.

Innovation in Power, Control, and Optimization: Emerging Energy Technologies

Vasant, Pandian
Innovation in Power Control and Optimization Emerging Energy Technologies Book PDF

Author : Vasant, Pandian
Publisher : IGI Global
Page : 396 pages
File Size : 44,5 Mb
Release : 2011-09-30
Category : Technology & Engineering
ISBN : 9781613501399

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Innovation in Power, Control, and Optimization: Emerging Energy Technologies by Vasant, Pandian Pdf

Developing a system that can cope with variations of system or control parameters, measurement uncertainty, and complex, multi-objective optimization criteria is a frequent problem in engineering systems design. The need for a priori knowledge and the inability to learn from past experience make the design of robust, adaptive, and stable systems a difficult task. Innovation in Power, Control, and Optimization: Emerging Energy Technologies unites research on the development of techniques and methodologies to improve the performance of power systems, energy planning and environments, controllers and robotics, operation research, and modern artificial computational intelligent techniques. Containing research on power engineering, control systems, and methods of optimization, this book is written for professionals who want to improve their understanding of strategic developments in the area of power, control, and optimization.

Multi-Objective Optimization in Chemical Engineering

Gade Pandu Rangaiah,Adrian Bonilla-Petriciolet
Multi Objective Optimization in Chemical Engineering Book PDF

Author : Gade Pandu Rangaiah,Adrian Bonilla-Petriciolet
Publisher : John Wiley & Sons
Page : 487 pages
File Size : 53,7 Mb
Release : 2013-03-20
Category : Science
ISBN : 9781118341681

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Multi-Objective Optimization in Chemical Engineering by Gade Pandu Rangaiah,Adrian Bonilla-Petriciolet Pdf

For reasons both financial and environmental, there is a perpetual need to optimize the design and operating conditions of industrial process systems in order to improve their performance, energy efficiency, profitability, safety and reliability. However, with most chemical engineering application problems having many variables with complex inter-relationships, meeting these optimization objectives can be challenging. This is where Multi-Objective Optimization (MOO) is useful to find the optimal trade-offs among two or more conflicting objectives. This book provides an overview of the recent developments and applications of MOO for modeling, design and operation of chemical, petrochemical, pharmaceutical, energy and related processes. It then covers important theoretical and computational developments as well as specific applications such as metabolic reaction networks, chromatographic systems, CO2 emissions targeting for petroleum refining units, ecodesign of chemical processes, ethanol purification and cumene process design. Multi-Objective Optimization in Chemical Engineering: Developments and Applications is an invaluable resource for researchers and graduate students in chemical engineering as well as industrial practitioners and engineers involved in process design, modeling and optimization.

Applications and Challenges of Maintenance and Safety Engineering in Industry 4.0

Martinetti, Alberto,Demichela, Micaela,Singh, Sarbjeet
Applications and Challenges of Maintenance and Safety Engineering in Industry 4 0 Book PDF

Author : Martinetti, Alberto,Demichela, Micaela,Singh, Sarbjeet
Publisher : IGI Global
Page : 321 pages
File Size : 46,7 Mb
Release : 2020-06-26
Category : Technology & Engineering
ISBN : 9781799839057

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Applications and Challenges of Maintenance and Safety Engineering in Industry 4.0 by Martinetti, Alberto,Demichela, Micaela,Singh, Sarbjeet Pdf

To plan, build, monitor, maintain, and dispose of products and assets properly, maintenance and safety requirements must be implemented and followed. A lack of maintenance and safety protocols leads to accidents and environmental disasters as well as unexpected downtime that costs businesses money and time. With the arrival of the Fourth Industrial Revolution and evolving technological tools, it is imperative that safety and maintenance practices be reexamined. Applications and Challenges of Maintenance and Safety Engineering in Industry 4.0 is a collection of innovative research that addresses safety and design for maintenance and reducing the factors that influence and degrade human performance and that provides technological advancements and emergent technologies that reduce the dependence on operator capabilities. Highlighting a wide range of topics including management analytics, internet of things (IoT), and maintenance, this book is ideally designed for engineers, software designers, technology developers, managers, safety officials, researchers, academicians, and students.

Reconstructing Urban Ambiance in Smart Public Places

Abusaada, Hisham,Salama, Ashraf M.,Elshater, Abeer
Reconstructing Urban Ambiance in Smart Public Places Book PDF

Author : Abusaada, Hisham,Salama, Ashraf M.,Elshater, Abeer
Publisher : IGI Global
Page : 280 pages
File Size : 50,6 Mb
Release : 2020-06-19
Category : Architecture
ISBN : 9781799838579

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Reconstructing Urban Ambiance in Smart Public Places by Abusaada, Hisham,Salama, Ashraf M.,Elshater, Abeer Pdf

New technologies have the power to augment many aspects of society, including public spaces and art. The impact of smart technology on urban design is vast and filled with opportunity and has profound implications on the everyday urban environment. Only by starting new conversations can we develop further contemporary insights that will affect how we move through the world. Reconstructing Urban Ambiance in Smart Public Places is a pivotal reference source that provides contemporary insights into a comprehensive interpretation of urban ambiances in smart places as it relates to the development of cities or to various levels of intervention in extant urban environments. The book also examines the impact of architectural design on the creation of urban ambience in artworks and how to reflect this technique in the fields of professional architectural practice. While covering a wide range of topics including wellbeing, quality-related artistry, and atmosphere, this publication combines smart technological innovation with creative design principles. This book is ideally designed for civil engineers, urban designers, architects, entrepreneurs, policymakers, researchers, academicians, and students.

Smart Cities and Machine Learning in Urban Health

Thomas, J. Joshua,Geropanta, Vasiliki,Karagianni, Anna,Panchenko, Vladimir,Vasant, Pandian
Smart Cities and Machine Learning in Urban Health Book PDF

Author : Thomas, J. Joshua,Geropanta, Vasiliki,Karagianni, Anna,Panchenko, Vladimir,Vasant, Pandian
Publisher : IGI Global
Page : 269 pages
File Size : 52,7 Mb
Release : 2021-11-12
Category : Medical
ISBN : 9781799871781

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Smart Cities and Machine Learning in Urban Health by Thomas, J. Joshua,Geropanta, Vasiliki,Karagianni, Anna,Panchenko, Vladimir,Vasant, Pandian Pdf

The perception of smart cities encompasses a strategy that uses different types of technologies, artificial intelligence (AI), and machine learning and in which, through the internet of things (IoT) and sensor-based data collection, the strategy extrapolates information using insights gained from that data to manage or monitor or track assets, resources, and services efficiently in an urban area. Both these models deeply affect the localities where they are applied and can create together immense possibilities for urban recovery, better quality of life, physical and mental health protection, and economic and social redevelopment. Smart Cities and Machine Learning in Urban Health promotes interdisciplinary work that develops and illustrates the concept of resilience in relation to smart city and machine learning. The book examines the ability of an area and its communities to recover quickly from difficulties; the rigidness and resistance of an area and its communities to possible crisis; the ability of an area, its communities, infrastructure, and business to spring back into shape; and the responsiveness and mitigation towards the crisis with a special look at the impact of the COVID-19 pandemic. The research’s theoretical foundation rests on a wide range of non-architectural sources, primarily AI, sociology, urban studies, and technological development, but it explores everything on cases taken from real cities, thus transforming them into pieces of architectural interest. Covering topics such as carbon emissions, digital healthcare systems, and urban transformation, this book is an essential resource for graduate and post-graduate students, policymakers, researchers, university faculty, engineers, public management, hospital administration, professors, and academicians.

Optimization of Power System Operation

Jizhong Zhu
Optimization of Power System Operation Book PDF

Author : Jizhong Zhu
Publisher : John Wiley & Sons
Page : 664 pages
File Size : 44,9 Mb
Release : 2016-12-08
Category : Technology & Engineering
ISBN : 9781118993361

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Optimization of Power System Operation by Jizhong Zhu Pdf

Optimization of Power System Operation, 2nd Edition, offers a practical, hands-on guide to theoretical developments and to the application of advanced optimization methods to realistic electric power engineering problems. The book includes: New chapter on Application of Renewable Energy, and a new chapter on Operation of Smart Grid New topics include wheeling model, multi-area wheeling, and the total transfer capability computation in multiple areas Continues to provide engineers and academics with a complete picture of the optimization of techniques used in modern power system operation

Modeling and Simulation of Energy Systems

Thomas A. Adams II
Modeling and Simulation of Energy Systems Book PDF

Author : Thomas A. Adams II
Publisher : MDPI
Page : 496 pages
File Size : 53,6 Mb
Release : 2019-11-06
Category : Technology & Engineering
ISBN : 9783039215188

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Modeling and Simulation of Energy Systems by Thomas A. Adams II Pdf

Energy Systems Engineering is one of the most exciting and fastest growing fields in engineering. Modeling and simulation plays a key role in Energy Systems Engineering because it is the primary basis on which energy system design, control, optimization, and analysis are based. This book contains a specially curated collection of recent research articles on the modeling and simulation of energy systems written by top experts around the world from universities and research labs, such as Massachusetts Institute of Technology, Yale University, Norwegian University of Science and Technology, National Energy Technology Laboratory of the US Department of Energy, University of Technology Sydney, McMaster University, Queens University, Purdue University, the University of Connecticut, Technical University of Denmark, the University of Toronto, Technische Universität Berlin, Texas A&M, the University of Pennsylvania, and many more. The key research themes covered include energy systems design, control systems, flexible operations, operational strategies, and systems analysis. The addressed areas of application include electric power generation, refrigeration cycles, natural gas liquefaction, shale gas treatment, concentrated solar power, waste-to-energy systems, micro-gas turbines, carbon dioxide capture systems, energy storage, petroleum refinery unit operations, Brayton cycles, to name but a few.

Large-Scale Integrated Energy Systems

Qing-Hua Wu,Jiehui Zheng,Zhaoxia Jing,Xiaoxin Zhou
Large Scale Integrated Energy Systems Book PDF

Author : Qing-Hua Wu,Jiehui Zheng,Zhaoxia Jing,Xiaoxin Zhou
Publisher : Springer
Page : 193 pages
File Size : 53,7 Mb
Release : 2019-06-29
Category : Technology & Engineering
ISBN : 9789811369438

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Large-Scale Integrated Energy Systems by Qing-Hua Wu,Jiehui Zheng,Zhaoxia Jing,Xiaoxin Zhou Pdf

This book discusses key issues in the planning and operation of large-scale integrated energy systems (LSIES). It establishes individual-based models for LSIES and develops multi-objective optimization algorithms and multi-attribute decision making support systems, which are applied to the planning and optimal operation of LSIES. It is a valuable reference work for researchers, students and engineers who are interested in energy systems, operation research and decision theory.