Applied Soft Computing Techniques For Renewable Energy

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Applied Soft Computing Techniques for Renewable Energy

Amit Kumar Thakur
Applied Soft Computing Techniques for Renewable Energy Book PDF

Author : Amit Kumar Thakur
Publisher : Nova Science Publishers
Page : 278 pages
File Size : 53,9 Mb
Release : 2020
Category : Science
ISBN : 1536182095

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Applied Soft Computing Techniques for Renewable Energy by Amit Kumar Thakur Pdf

"This book provides a better understanding of Fuzzy set theory, Fuzzy logic and Neural Networks and various other techniques seem very well suited for modeling and controlling a real system. Energy is of major importance to civilization, because it is driving force which binds human race. The estimation of energy in the form of renewable and sustainable is one of the important aspects to understand the how resources are harnessed and to predict what might happen under various possible future conditions. Using available modelling techniques to generate the best algorithms, the objective is to determine the best solution in terms of comparing the performances of the solutions through different parameters for a specific case. Consumption of Fossil fuels at a rapid pace has generated an alarming situation and with the subsequent increase in the number of vehicle the pollution level has reached well beyond human's control. This is frightening enough to observe the fact that the pollution level has surpassed all records and the need of the hour is to find an alternate fuel which can really be of great assistance in reducing the exhaust emission and augment the performance parameters of engine. Major researches are carried out on various engines to draw closer towards a realistic solution. Experiments performed on various engines are considered to be time consuming and the expenses met to perform these experiments are too costly, so the need of soft computing techniques involved in this area. Soft computing can be better described as the process to find the solution to an inexact problem. Soft computing has showed lot of potential in giving the researchers the exact solution may be in case of validating or predicting the performance and emission parameters. Artificial Neural Network (ANN), Adaptive Neuro Fuzzy Inference system (ANFIS), Fuzzy Expert System (FES), Response Surface Methodology (RSM) and Support Vector Machine (SVM) are the various soft computing techniques widely used. This book focuses on to carry out the comprehensive review and various other experimental works of various researchers who have carried out the work on these various soft computing techniques on various engines with various alternative fuels On the basis of modelling techniques, time is saved to a great extent and the capital investment involved is comparably very low. Various modelling technniques are being readily used to predict the performance parameters for various engines and modelling techniques have become the readily available tool to compare and validate the experimental work being carried out by researchers to get accurate matching with the experimental data.The benefit of this issue will be at large in connecting with varieties of work done in the field of Biomass which includes wood and wood waste, municipal solid waste. Landfill gas and biogas. Ethanol, Biodiesel, Hydropower, Geothermal, Wind, Solar.Thus soft computing techniques are fast and reliable hence, they can be a substitute for conventional experiments"--

Soft Computing Applications for Renewable Energy and Energy Efficiency

Cascales, Maria del Socorro García
Soft Computing Applications for Renewable Energy and Energy Efficiency Book PDF

Author : Cascales, Maria del Socorro García
Publisher : IGI Global
Page : 408 pages
File Size : 51,7 Mb
Release : 2014-10-31
Category : Technology & Engineering
ISBN : 9781466666320

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Soft Computing Applications for Renewable Energy and Energy Efficiency by Cascales, Maria del Socorro García Pdf

As the climate and environment continue to fluctuate, researchers are urgently looking for new ways to preserve our limited resources and prevent further environmental degradation. The answer can be found through computer science, a field that is evolving at precisely the time it is needed most. Soft Computing Applications for Renewable Energy and Energy Efficiency brings together the latest technological research in computational intelligence and fuzzy logic as a way to care for our environment. This reference work highlights current advances and future trends in environmental sustainability using the principles of soft computing, making it an essential resource for students, researchers, engineers, and practitioners in the fields of project engineering and energy science.

Applied Soft Computing and Embedded System Applications in Solar Energy

Rupendra Kumar Pachauri,Jitendra Kumar Pandey,Abhishek Sharmu,Om Prakash Nautiyal,Mangey Ram
Applied Soft Computing and Embedded System Applications in Solar Energy Book PDF

Author : Rupendra Kumar Pachauri,Jitendra Kumar Pandey,Abhishek Sharmu,Om Prakash Nautiyal,Mangey Ram
Publisher : CRC Press
Page : 258 pages
File Size : 40,7 Mb
Release : 2021-05-27
Category : Technology & Engineering
ISBN : 9781000391732

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Applied Soft Computing and Embedded System Applications in Solar Energy by Rupendra Kumar Pachauri,Jitendra Kumar Pandey,Abhishek Sharmu,Om Prakash Nautiyal,Mangey Ram Pdf

Applied Soft Computing and Embedded System Applications in Solar Energy deals with energy systems and soft computing methods from a wide range of approaches and application perspectives. The authors examine how embedded system applications can deal with the smart monitoring and controlling of stand-alone and grid-connected solar photovoltaic (PV) systems for increased efficiency. Growth in the area of artificial intelligence with embedded system applications has led to a new era in computing, impacting almost all fields of science and engineering. Soft computing methods implemented to energy-related problems regularly face data-driven issues such as problems of optimization, classification, clustering, or prediction. The authors offer real-time implementation of soft computing and embedded system in the area of solar energy to address the issues with microgrid and smart grid projects (both renewable and non-renewable generations), energy management, and power regulation. They also discuss and examine alternative solutions for energy capacity assessment, energy efficiency systems design, as well as other specific smart grid energy system applications. The book is intended for students, professionals, and researchers in electrical and computer engineering fields, working on renewable energy resources, microgrids, and smart grid projects. Examines the integration of hardware with stand-alone PV panels and real-time monitoring of factors affecting the efficiency of the PV panels Offers real-time implementation of soft computing and embedded system in the area of solar energy Discusses how soft computing plays a huge role in the prediction of efficiency of stand-alone and grid-connected solar PV systems Discusses how embedded system applications with smart monitoring can control and enhance the efficiency of stand-alone and grid-connected solar PV systems Explores swarm intelligence techniques for solar PV parameter estimation Dr. Rupendra Kumar Pachauri is Assistant Professor – Selection Grade in the Department of Electrical and Electronics Engineering, University of Petroleum and Energy Studies (UPES), Dehradun, India. Dr. Jitendra Kumar Pandey is Professor & Head of R&D in the University of Petroleum and Energy Studies (UPES), Dehradun, India. Mr. Abhishek Sharma is working as a research scientist in the research and development department (UPES, India). Dr. Om Prakash Nautiyal is working as a scientist in Uttarakhand Science Education & Research Centre (USERC), Department of Information and Science Technology, Govt. of Uttarakhand, Dehradun, India. Prof. Mangey Ram is working as a Research Professor at Graphic Era Deemed to be University, Dehradun, India.

Soft Computing in Green and Renewable Energy Systems

Kasthurirangan Gopalakrishnan,Siddhartha Kumar Khaitan,Soteris Kalogirou
Soft Computing in Green and Renewable Energy Systems Book PDF

Author : Kasthurirangan Gopalakrishnan,Siddhartha Kumar Khaitan,Soteris Kalogirou
Publisher : Springer Science & Business Media
Page : 315 pages
File Size : 54,7 Mb
Release : 2011-08-20
Category : Computers
ISBN : 9783642221750

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Soft Computing in Green and Renewable Energy Systems by Kasthurirangan Gopalakrishnan,Siddhartha Kumar Khaitan,Soteris Kalogirou Pdf

Soft Computing in Green and Renewable Energy Systems provides a practical introduction to the application of soft computing techniques and hybrid intelligent systems for designing, modeling, characterizing, optimizing, forecasting, and performance prediction of green and renewable energy systems. Research is proceeding at jet speed on renewable energy (energy derived from natural resources such as sunlight, wind, tides, rain, geothermal heat, biomass, hydrogen, etc.) as policy makers, researchers, economists, and world agencies have joined forces in finding alternative sustainable energy solutions to current critical environmental, economic, and social issues. The innovative models, environmentally benign processes, data analytics, etc. employed in renewable energy systems are computationally-intensive, non-linear and complex as well as involve a high degree of uncertainty. Soft computing technologies, such as fuzzy sets and systems, neural science and systems, evolutionary algorithms and genetic programming, and machine learning, are ideal in handling the noise, imprecision, and uncertainty in the data, and yet achieve robust, low-cost solutions. As a result, intelligent and soft computing paradigms are finding increasing applications in the study of renewable energy systems. Researchers, practitioners, undergraduate and graduate students engaged in the study of renewable energy systems will find this book very useful.

Soft Computing in Renewable Energy Technologies

Najib El Ouanjli,Mahmoud A Mossa,Mariya Ouaissa,Sanjeevikumar Padmanaban,Said Mahfoud
Soft Computing in Renewable Energy Technologies Book PDF

Author : Najib El Ouanjli,Mahmoud A Mossa,Mariya Ouaissa,Sanjeevikumar Padmanaban,Said Mahfoud
Publisher : Unknown
Page : 0 pages
File Size : 45,6 Mb
Release : 2024-10-10
Category : Computers
ISBN : 103261191X

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Soft Computing in Renewable Energy Technologies by Najib El Ouanjli,Mahmoud A Mossa,Mariya Ouaissa,Sanjeevikumar Padmanaban,Said Mahfoud Pdf

This book addresses and disseminates state-of-the-art research and development in the applications of soft computing techniques for renewable energy systems. In addition, our book can be considered as a reference for researchers and academics, since it will include applications of soft computing in different renewable energy systems.

Intelligent Renewable Energy Systems

Neeraj Priyadarshi,Akash Kumar Bhoi,Sanjeevikumar Padmanaban,S. Balamurugan,Jens Bo Holm-Nielsen
Intelligent Renewable Energy Systems Book PDF

Author : Neeraj Priyadarshi,Akash Kumar Bhoi,Sanjeevikumar Padmanaban,S. Balamurugan,Jens Bo Holm-Nielsen
Publisher : John Wiley & Sons
Page : 484 pages
File Size : 41,7 Mb
Release : 2022-01-19
Category : Computers
ISBN : 9781119786276

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Intelligent Renewable Energy Systems by Neeraj Priyadarshi,Akash Kumar Bhoi,Sanjeevikumar Padmanaban,S. Balamurugan,Jens Bo Holm-Nielsen Pdf

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.

Applied Soft Computing and Embedded System Applications in Solar Energy

Rupendra Kumar Pachauri,Jitendra Kumar Pandey,Abhishek Sharmu,Om Nautiyal,Mangey Ram
Applied Soft Computing and Embedded System Applications in Solar Energy Book PDF

Author : Rupendra Kumar Pachauri,Jitendra Kumar Pandey,Abhishek Sharmu,Om Nautiyal,Mangey Ram
Publisher : CRC Press
Page : 255 pages
File Size : 45,9 Mb
Release : 2021-05-26
Category : Technology & Engineering
ISBN : 9781000391695

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Applied Soft Computing and Embedded System Applications in Solar Energy by Rupendra Kumar Pachauri,Jitendra Kumar Pandey,Abhishek Sharmu,Om Nautiyal,Mangey Ram Pdf

Examines the integration of hardware with stand-alone PV panels and real time monitoring of factors affecting the efficiency of the photovoltaic panels Offers the real time implementation of soft computing and embedded system in the area of solar energy Discusses how soft computing plays a huge role in the prediction of efficiency of stand-alone and grid connected solar PV systems Discusses how embedded system applications with smart monitoring can control and enhance the efficiency of stand-alone and grid connected solar PV systems Explores swarm intelligence techniques for solar PV parameter estimation

Applied Soft Computing Techniques for Renewable Energy

Amit Kumar Thakur
Applied Soft Computing Techniques for Renewable Energy Book PDF

Author : Amit Kumar Thakur
Publisher : Nova Science Publishers
Page : 278 pages
File Size : 44,9 Mb
Release : 2020
Category : Artificial intelligence
ISBN : 1536181803

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Applied Soft Computing Techniques for Renewable Energy by Amit Kumar Thakur Pdf

This book provides a better understanding of Fuzzy set theory, Fuzzy logic and Neural Networks and various other techniques seem very well suited for modeling and controlling a real system. Energy is of major importance to civilization, because it is driving force which binds human race. The estimation of energy in the form of renewable and sustainable is one of the important aspects to understand the how resources are harnessed and to predict what might happen under various possible future conditions. Using available modelling techniques to generate the best algorithms, the objective is to determine the best solution in terms of comparing the performances of the solutions through different parameters for a specific case. Consumption of Fossil fuels at a rapid pace has generated an alarming situation and with the subsequent increase in the number of vehicle the pollution level has reached well beyond human's control. This is frightening enough to observe the fact that the pollution level has surpassed all records and the need of the hour is to find an alternate fuel which can really be of great assistance in reducing the exhaust emission and augment the performance parameters of engine. Major researches are carried out on various engines to draw closer towards a realistic solution. Experiments performed on various engines are considered to be time consuming and the expenses met to perform these experiments are too costly, so the need of soft computing techniques involved in this area. Soft computing can be better described as the process to find the solution to an inexact problem. Soft computing has showed lot of potential in giving the researchers the exact solution may be in case of validating or predicting the performance and emission parameters. Artificial Neural Network (ANN), Adaptive Neuro Fuzzy Inference system (ANFIS), Fuzzy Expert System (FES), Response Surface Methodology (RSM) and Support Vector Machine (SVM) are the various soft computing techniques widely used. This book focuses on to carry out the comprehensive review and various other experimental works of various researchers who have carried out the work on these various soft computing techniques on various engines with various alternative fuels On the basis of modelling techniques, time is saved to a great extent and the capital investment involved is comparably very low. Various modelling technniques are being readily used to predict the performance parameters for various engines and modelling techniques have become the readily available tool to compare and validate the experimental work being carried out by researchers to get accurate matching with the experimental data.The benefit of this issue will be at large in connecting with varieties of work done in the field of Biomass which includes wood and wood waste, municipal solid waste. Landfill gas and biogas. Ethanol, Biodiesel, Hydropower, Geothermal, Wind, Solar.Thus soft computing techniques are fast and reliable hence, they can be a substitute for conventional experiments.

Artificial Intelligence for Renewable Energy Systems

Ajay Kumar Vyas,S. Balamurugan,Kamal Kant Hiran,Harsh S. Dhiman
Artificial Intelligence for Renewable Energy Systems Book PDF

Author : Ajay Kumar Vyas,S. Balamurugan,Kamal Kant Hiran,Harsh S. Dhiman
Publisher : John Wiley & Sons
Page : 276 pages
File Size : 47,9 Mb
Release : 2022-03-02
Category : Computers
ISBN : 9781119761693

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Artificial Intelligence for Renewable Energy Systems by Ajay Kumar Vyas,S. Balamurugan,Kamal Kant Hiran,Harsh S. Dhiman Pdf

ARTIFICIAL INTELLIGENCE FOR RENEWABLE ENERGY SYSTEMS Renewable energy systems, including solar, wind, biodiesel, hybrid energy, and other relevant types, have numerous advantages compared to their conventional counterparts. This book presents the application of machine learning and deep learning techniques for renewable energy system modeling, forecasting, and optimization for efficient system design. Due to the importance of renewable energy in today’s world, this book was designed to enhance the reader’s knowledge based on current developments in the field. For instance, the extraction and selection of machine learning algorithms for renewable energy systems, forecasting of wind and solar radiation are featured in the book. Also highlighted are intelligent data, renewable energy informatics systems based on supervisory control and data acquisition (SCADA); and intelligent condition monitoring of solar and wind energy systems. Moreover, an AI-based system for real-time decision-making for renewable energy systems is presented; and also demonstrated is the prediction of energy consumption in green buildings using machine learning. The chapter authors also provide both experimental and real datasets with great potential in the renewable energy sector, which apply machine learning (ML) and deep learning (DL) algorithms that will be helpful for economic and environmental forecasting of the renewable energy business. Audience The primary target audience includes research scholars, industry engineers, and graduate students working in renewable energy, electrical engineering, machine learning, information & communication technology.

Intelligent and Soft Computing Systems for Green Energy

A. Chitra,V. Indragandhi,W. Razia Sultana
Intelligent and Soft Computing Systems for Green Energy Book PDF

Author : A. Chitra,V. Indragandhi,W. Razia Sultana
Publisher : John Wiley & Sons
Page : 388 pages
File Size : 46,8 Mb
Release : 2023-06-20
Category : Science
ISBN : 9781394166374

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Intelligent and Soft Computing Systems for Green Energy by A. Chitra,V. Indragandhi,W. Razia Sultana Pdf

INTELLIGENT AND SOFT COMPUTING SYSTEMS FOR GREEN ENERGY Written and edited by some of the world’s top experts in the field, this exciting new volume provides state-of-the-art research and the latest technological breakthroughs in next-generation computing systems for the energy sector, striving to bring the science toward sustainability. Real-world problems need intelligent solutions. Across many industries and fields, intelligent and soft computing systems, using such developing technologies as artificial intelligence and Internet of Things, are quickly becoming important tools for scientists, engineers, and other professionals for solving everyday problems in practical situations. This book aims to bring together the research that has been carried out in the field of intelligent and soft computing systems. Intelligent and soft computing systems involves expertise from various domains of research, such as electrical engineering, computer engineering, and mechanical engineering. This book will serve as a point of convergence wherein all these domains come together. The various chapters are configured to address the challenges faced in intelligent and soft computing systems from various fields and possible solutions. The outcome of this book can serve as a potential resource for industry professionals and researchers working in the domain of intelligent and soft computing systems. To list a few soft computing techniques, neural-based load forecasting, IoT-enabled smart grids, and blockchain technology for energy trading. Whether for the veteran engineer or the student learning the latest breakthroughs, this exciting new volume is a must-have for any library.

Research Advancements in Smart Technology, Optimization, and Renewable Energy

Vasant, Pandian,Weber, Gerhard,Punurai, Wonsiri
Research Advancements in Smart Technology Optimization and Renewable Energy Book PDF

Author : Vasant, Pandian,Weber, Gerhard,Punurai, Wonsiri
Publisher : IGI Global
Page : 407 pages
File Size : 46,5 Mb
Release : 2020-08-07
Category : Technology & Engineering
ISBN : 9781799839712

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Research Advancements in Smart Technology, Optimization, and Renewable Energy by Vasant, Pandian,Weber, Gerhard,Punurai, Wonsiri Pdf

As environmental issues remain at the forefront of energy research, renewable energy is now an all-important field of study. And as smart technology continues to grow and be refined, its applications broaden and increase in their potential to revolutionize sustainability studies. This potential can only be fully realized with a thorough understanding of the most recent breakthroughs in the field. Research Advancements in Smart Technology, Optimization, and Renewable Energy is a collection of innovative research that explores the recent steps forward for smart applications in sustainability. Featuring coverage on a wide range of topics including energy assessment, neural fuzzy control, and biogeography, this book is ideally designed for advocates, policymakers, engineers, software developers, academicians, researchers, and students.

Artificial Intelligence Techniques for a Scalable Energy Transition

Moamar Sayed-Mouchaweh
Artificial Intelligence Techniques for a Scalable Energy Transition Book PDF

Author : Moamar Sayed-Mouchaweh
Publisher : Springer Nature
Page : 383 pages
File Size : 49,8 Mb
Release : 2020-06-19
Category : Technology & Engineering
ISBN : 9783030427269

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Artificial Intelligence Techniques for a Scalable Energy Transition by Moamar Sayed-Mouchaweh Pdf

This book presents research in artificial techniques using intelligence for energy transition, outlining several applications including production systems, energy production, energy distribution, energy management, renewable energy production, cyber security, industry 4.0 and internet of things etc. The book goes beyond standard application by placing a specific focus on the use of AI techniques to address the challenges related to the different applications and topics of energy transition. The contributions are classified according to the market and actor interactions (service providers, manufacturers, customers, integrators, utilities etc.), to the SG architecture model (physical layer, infrastructure layer, and business layer), to the digital twin of SG (business model, operational model, fault/transient model, and asset model), and to the application domain (demand side management, load monitoring, micro grids, energy consulting (residents, utilities), energy saving, dynamic pricing revenue management and smart meters, etc.).

Advances in Smart Energy Systems

Biplab Das,Ripon Patgiri,Valentina Emilia Balas
Advances in Smart Energy Systems Book PDF

Author : Biplab Das,Ripon Patgiri,Valentina Emilia Balas
Publisher : Springer Nature
Page : 300 pages
File Size : 40,9 Mb
Release : 2022-08-31
Category : Technology & Engineering
ISBN : 9789811924125

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Advances in Smart Energy Systems by Biplab Das,Ripon Patgiri,Valentina Emilia Balas Pdf

This book discusses smart computing techniques which offer an effective solution for investigating and modeling the stochastic behavior of renewable energy generation, operation of grid-connected renewable energy systems, and smart decision-making among alternatives. It also discusses applications of soft computing techniques to make an intelligent decision for optimum use of suitable alternatives which gives an upper hand compared to conventional systems. It includes upgradation of the existing system by embedding of machine intelligence. The authors present combination of use of neutral networks, fuzzy systems, and genetic algorithms which are illustrated in several applications including forecasting, security, verification, diagnostics of a specific fault, efficiency optimization, etc. Smart energy systems integrate a holistic approach in diverse sectors including electricity, thermal comfort, power industry, transportation. It allows affordable and sustainable solutions to solve the future energy demands with suitable alternatives. Thus, contributions regarding integration of the machine intelligence with the energy system, for efficient collection and effective utilization of the available energy sources, are useful for further advanced studies.

Evolutionary Methods Based Modeling and Analysis of Solar Thermal Systems

Biplab Das,Jagadish
Evolutionary Methods Based Modeling and Analysis of Solar Thermal Systems Book PDF

Author : Biplab Das,Jagadish
Publisher : Springer Nature
Page : 143 pages
File Size : 49,8 Mb
Release : 2023-04-29
Category : Technology & Engineering
ISBN : 9783031276354

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Evolutionary Methods Based Modeling and Analysis of Solar Thermal Systems by Biplab Das,Jagadish Pdf

This book presents insights into the thermal performance of solar thermal collectors using both computational and experimental modeling. It consists of various computational and experimental case studies conducted by the authors on the solar thermal collector system. The authors begin by developing thermal modeling using a case study that shows the effect of different governing parameters. A few more experimental cases studies follow that highlight the energy, exergy, and environmental performance of the solar thermal collector system and to examine the performance of a modified solar collector system, illustrating performance improvement techniques. Finally, application of different evolutionary optimization techniques such as soft computing and evolutionary methods, like fuzzy techniques, MCDM methods like fuzzy logic based expert system (FLDS), Artificial Neural Network (ANN), Grey relational analysis (GRA), Entropy-Jaya algorithm, Entropy-VIKOR etc. are employed.

Intelligent Paradigms for Smart Grid and Renewable Energy Systems

B. Vinoth Kumar,P. Sivakumar,M.M. Rajan Singaravel,K. Vijayakumar
Intelligent Paradigms for Smart Grid and Renewable Energy Systems Book PDF

Author : B. Vinoth Kumar,P. Sivakumar,M.M. Rajan Singaravel,K. Vijayakumar
Publisher : Springer Nature
Page : 397 pages
File Size : 41,9 Mb
Release : 2020-12-15
Category : Technology & Engineering
ISBN : 9789811599682

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Intelligent Paradigms for Smart Grid and Renewable Energy Systems by B. Vinoth Kumar,P. Sivakumar,M.M. Rajan Singaravel,K. Vijayakumar Pdf

This book addresses and disseminates state-of-the-art research and development in the applications of intelligent techniques for smart grids and renewable energy systems. This helps the readers to grasp the extensive point of view and the essence of the recent advances in this field. The book solicits contributions from active researchers which include theory, case studies and intelligent paradigms pertaining to the smart grid and renewable energy systems. The prospective audience would be researchers, professionals, practitioners and students from academia and industry who work in this field.