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Intelligence in Energy

Intelligence in Energy
A Book

by Gülgün Kayakutlu,Eunika Mercier-Laurent

  • Publisher : Elsevier
  • Release : 2017-02-15
  • Pages : 252
  • ISBN : 008100480X
  • Language : En, Es, Fr & De
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In a world of increasing population, this book explores the ways in which technological progress can provide smart energy management strategies to maximize resources. Energy is essential to the survival and development of mankind. Increased pressure on existing resources now requires wiser energy management, in addition to the discovery of new resources. Challenges such as the global trend of “cheaper , exponentially increasing demand in new geographies, and current climate change policies now call for new approaches and ways of thinking about energy use which consider the impact on all involved actors, and on nature. Energy generation and management can be made more efficient by making use of technological progress and sharing global experience in the smart use of this resource. This book presents a knowledge-based review of the past, present and future of energy usage, with mathematical, modeling, economic, technological and environmental perspectives. The ideas and experiences shared here propose wiser energy management as a system component of natural ecosystems. Explores the evolution of intelligence methods used in the energy field with a knowledge-based approach Reviews the history of methodologies used, with ontologies and knowledge maps of examples Presents case studies showing both the techniques and achievements of modern methodologies Describes regional approaches in search of alternative energy resources, aimed at reducing the use of fossil energy and enhancing the use of renewable energy

AI and IOT in Renewable Energy

AI and IOT in Renewable Energy
A Book

by Rabindra Nath Shaw,Nishad Mendis,Saad Mekhilef,Ankush Ghosh

  • Publisher : Springer Nature
  • Release : 2021-05-12
  • Pages : 109
  • ISBN : 9811610118
  • Language : En, Es, Fr & De
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This book presents the latest research on applications of artificial intelligence and the Internet of Things in renewable energy systems. Advanced renewable energy systems must necessarily involve the latest technology like artificial intelligence and Internet of Things to develop low cost, smart and efficient solutions. Intelligence allows the system to optimize the power, thereby making it a power efficient system; whereas, Internet of Things makes the system independent of wire and flexibility in operation. As a result, intelligent and IOT paradigms are finding increasing applications in the study of renewable energy systems. This book presents advanced applications of artificial intelligence and the internet of things in renewable energy systems development. It covers such topics as solar energy systems, electric vehicles etc. In all these areas applications of artificial intelligence methods such as artificial neural networks, genetic algorithms, fuzzy logic and a combination of the above, called hybrid systems, are included. The book is intended for a wide audience ranging from the undergraduate level up to the research academic and industrial communities engaged in the study and performance prediction of renewable energy systems.

Artificial Intelligence for Renewable Energy Systems

Artificial Intelligence for Renewable Energy Systems
A Book

by Ajay Kumar Vyas,S. Balamurugan,Kamal Kant Hiran,Harsh S. Dhiman

  • Publisher : John Wiley & Sons
  • Release : 2022-01-28
  • Pages : 272
  • ISBN : 1119761719
  • Language : En, Es, Fr & De
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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.

Artificial Intelligence and Internet of Things for Renewable Energy Systems

Artificial Intelligence and Internet of Things for Renewable Energy Systems
A Book

by Neeraj Priyadarshi,Sanjeevikumar Padmanaban,Kamal Kant Hiran,Jens Bo Holm-Nielson,Ramesh C. Bansal

  • Publisher : Walter de Gruyter GmbH & Co KG
  • Release : 2021-11-22
  • Pages : 318
  • ISBN : 3110714043
  • Language : En, Es, Fr & De
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This book explains the application of Artificial Intelligence and Internet of Things on green energy systems. The design of smart grids and intelligent networks enhances energy efficiency, while the collection of environmental data through sensors and their prediction through machine learning models improve the reliability of green energy systems.

Artificial Intelligence for Smart and Sustainable Energy Systems and Applications

Artificial Intelligence for Smart and Sustainable Energy Systems and Applications
A Book

by Miltiadis D. Lytras,Kwok Tai Chui

  • Publisher : MDPI
  • Release : 2020-05-27
  • Pages : 258
  • ISBN : 303928889X
  • Language : En, Es, Fr & De
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Energy has been a crucial element for human beings and sustainable development. The issues of global warming and non-green energy have yet to be resolved. This book is a collection of twelve articles that provide strong evidence for the success of artificial intelligence deployment in energy research, particularly research devoted to non-intrusive load monitoring, network, and grid, as well as other emerging topics. The presented artificial intelligence algorithms may provide insight into how to apply similar approaches, subject to fine-tuning and customization, to other unexplored energy research. The ultimate goal is to fully apply artificial intelligence to the energy sector. This book may serve as a guide for professionals, researchers, and data scientists—namely, how to share opinions and exchange ideas so as to facilitate a better fusion of energy, academic, and industry research, and improve in the quality of people's daily life activities.

Artificial Intelligence and Heuristics for Smart Energy Efficiency in Smart Cities

Artificial Intelligence and Heuristics for Smart Energy Efficiency in Smart Cities
Case Study: Tipasa, Algeria

by Mustapha Hatti

  • Publisher : Springer Nature
  • Release : 2022
  • Pages : 129
  • ISBN : 3030920380
  • Language : En, Es, Fr & De
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Intelligent Renewable Energy Systems

Intelligent Renewable Energy Systems
Modelling and Control

by Gerasimos Rigatos

  • Publisher : Springer
  • Release : 2016-08-06
  • Pages : 542
  • ISBN : 3319391569
  • Language : En, Es, Fr & De
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Focused on renewable energy systems and the development of information and communication technologies (ICTs) for their integration in smart grids, this book presents recent advances and methods that help to ensure that power generation from renewable sources remains stable, that power losses are minimized, and that the reliable functioning of these power generation units is maintained. The book highlights key topics and technologies for renewable energy systems including the intelligent control of power generators, power electronics that connect renewable power generation units to the grid, and fault diagnosis for power generators and power electronics. In particular, the following topics are addressed: • Modeling and control of power generators (PMSGs, DFIGs); • Modeling and control of power electronics (converters, inverters); • Modeling and fault diagnosis of the transmission and distribution Grid; and • Modelling and control of distributed power generation units (interconnected synchronous generators or photovoltaic units). Because of the above coverage, members of the wider engineering community will find that the nonlinear control and estimation methods presented provide essential insights into the functioning of renewable energy power systems, while the academic community will find the book a valuable textbook for undergraduate or graduate courses on renewable energy systems.

Introduction to Artificial Intelligence in Renewable Energy and Climate Change

Introduction to Artificial Intelligence in Renewable Energy and Climate Change
A Book

by Pandian Vasant,Valeriy Kharchenko,J. Joshua Thomas,Gerhard-Wilhelm Weber,Anirban Banik

  • Publisher : Wiley-Scrivener
  • Release : 2022-04-05
  • Pages : 350
  • ISBN : 9781119768982
  • Language : En, Es, Fr & De
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Artificial Intelligence for Smart and Sustainable Energy Systems and Applications

Artificial Intelligence for Smart and Sustainable Energy Systems and Applications
A Book

by Miltiadis Lytras,Kwok Tai Chui

  • Publisher : Unknown Publisher
  • Release : 2020
  • Pages : 258
  • ISBN : 9783039288908
  • Language : En, Es, Fr & De
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Energy has been a crucial element for human beings and sustainable development. The issues of global warming and non-green energy have yet to be resolved. This book is a collection of twelve articles that provide strong evidence for the success of artificial intelligence deployment in energy research, particularly research devoted to non-intrusive load monitoring, network, and grid, as well as other emerging topics. The presented artificial intelligence algorithms may provide insight into how to apply similar approaches, subject to fine-tuning and customization, to other unexplored energy research. The ultimate goal is to fully apply artificial intelligence to the energy sector. This book may serve as a guide for professionals, researchers, and data scientists--namely, how to share opinions and exchange ideas so as to facilitate a better fusion of energy, academic, and industry research, and improve in the quality of people's daily life activities.

Intelligent Renewable Energy Systems

Intelligent Renewable Energy Systems
Integrating Artificial Intelligence Techniques and Optimization Algorithms

by Neeraj Priyadarshi,Akash Kumar Bhoi,Sanjeevikumar Padmanaban,S. Balamurugan,Jens Bo Holm-Nielsen

  • Publisher : John Wiley & Sons
  • Release : 2021-12-29
  • Pages : 480
  • ISBN : 1119786282
  • Language : En, Es, Fr & De
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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.

Intelligent Energy Field Manufacturing

Intelligent Energy Field Manufacturing
Interdisciplinary Process Innovations

by Wenwu Zhang

  • Publisher : CRC Press
  • Release : 2018-10-03
  • Pages : 728
  • ISBN : 9781420071030
  • Language : En, Es, Fr & De
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Edited by prominent researchers and with contributions from experts in their individual areas, Intelligent Energy Field Manufacturing: Interdisciplinary Process Innovations explores a new philosophy of engineering. An in-depth introduction to Intelligent Energy Field Manufacturing (EFM), this book explores a fresh engineering methodology that not only integrates but goes beyond methodologies such as Design for Six Sigma, Lean Manufacturing, Concurrent Engineering, TRIZ, green and sustainable manufacturing, and more. This book gives a systematic introduction to classic non-mechanical manufacturing processes as well as offering big pictures of some technical frontiers in modern engineering. The book suggests that any manufacturing process is actually a process of injecting human intelligence into the interaction between material and the various energy fields in order to transfer the material into desired configurations. It discusses technological innovation, dynamic M-PIE flows, the generalities of energy fields, logic functional materials and intelligence, the open scheme of intelligent EFM implementation, and the principles of intelligent EFM. The book takes a highly interdisciplinary approach that includes research frontiers such as micro/nano fabrication, high strain rate processes, laser shock forming, materials science and engineering, bioengineering, etc., in addition to a detailed treatment of the so called "non-traditional" manufacturing processes, which covers waterjet machining, laser material processing, ultrasonic material processing, EDM/ECM, etc. Filled with illustrative pictures, figures, and tables that make technical materials more absorbable, the book cuts across multiple engineering disciplines. The majority of books in this area report the facts of proven knowledge, while the behind-the-scenes thinking is usually neglected. This book examines the big picture of manufacturing in depth before diving into the details of an individual process, demonstrating how innovations are achieved. It lowers barriers to technical innovation, meets new engineering challenges, and systematically introduces manufacturing processes.

Intelligent Control in Energy Systems

Intelligent Control in Energy Systems
A Book

by Anastasios Dounis

  • Publisher : MDPI
  • Release : 2019-08-26
  • Pages : 508
  • ISBN : 3039214152
  • Language : En, Es, Fr & De
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The editors of this Special Issue titled “Intelligent Control in Energy Systems” have attempted to create a book containing original technical articles addressing various elements of intelligent control in energy systems. In response to our call for papers, we received 60 submissions. Of those submissions, 27 were published and 33 were rejected. In this book, we offer the 27 accepted technical articles as well as one editorial. Authors from 15 countries (China, Netherlands, Spain, Tunisia, United Sates of America, Korea, Brazil, Egypt, Denmark, Indonesia, Oman, Canada, Algeria, Mexico, and the Czech Republic) elaborate on several aspects of intelligent control in energy systems. The book covers a broad range of topics including fuzzy PID in automotive fuel cell and MPPT tracking, neural networks for fuel cell control and dynamic optimization of energy management, adaptive control on power systems, hierarchical Petri Nets in microgrid management, model predictive control for electric vehicle battery and frequency regulation in HVAC systems, deep learning for power consumption forecasting, decision trees for wind systems, risk analysis for demand side management, finite state automata for HVAC control, robust μ-synthesis for microgrids, and neuro-fuzzy systems in energy storage.

Artificial Intelligence in Sustainable Energy Industry: Status Quo, Challenges and Opportunities

Artificial Intelligence in Sustainable Energy Industry: Status Quo, Challenges and Opportunities
Artificial Intelligence Renewable Energy Energy Demand Decision Making Big Data Energy Digitization

by Dani Wade

  • Publisher : Unknown Publisher
  • Release : 2021-03-10
  • Pages : 96
  • ISBN : 9876543210XXX
  • Language : En, Es, Fr & De
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Intelligent Data Analytics for Power and Energy Systems

Intelligent Data Analytics for Power and Energy Systems
A Book

by Hasmat Malik,Md. Waseem Ahmad,Dwarkadas Pralhaddas Kothari

  • Publisher : Springer Nature
  • Release : 2022
  • Pages : 641
  • ISBN : 9811660816
  • Language : En, Es, Fr & De
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This book brings together state-of-the-art advances in intelligent data analytics as driver of the future evolution of PaE systems. In the modern power and energy (PaE) domain, the increasing penetration of renewable energy sources (RES) and the consequent empowerment of consumers as a central and active solution to deal with the generation and development variability are driving the PaE system towards a historic paradigm shift. The small-scale, diversity, and especially the number of new players involved in the PaE system potentiate a significant growth of generated data. Moreover, advances in communication (between IoT devices and M2M: machine to machine, man to machine, etc.) and digitalization hugely increased the volume of data that results from PaE components, installations, and systems operation. This data is becoming more and more important for PaE systems operation, maintenance, planning, and scheduling with relevant impact on all involved entities, from producers, consumer,s and aggregators to market and system operators. However, although the PaE community is fully aware of the intrinsic value of those data, the methods to deal with it still necessitate substantial enhancements, development and research. Intelligent data analytics is thereby playing a fundamental role in this domain, by enabling stakeholders to expand their decision-making method and achieve the awareness on the PaE environment. The editors also included demonstrated codes for presented problems for better understanding for beginners.

Intelligent Automation in Renewable Energy

Intelligent Automation in Renewable Energy
A Book

by Tetyana Baydyk,Ernst Kussul,Donald C. Wunsch II

  • Publisher : Springer
  • Release : 2019-02-05
  • Pages : 285
  • ISBN : 3030022366
  • Language : En, Es, Fr & De
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After an introduction to renewable energy technologies, the authors present computational intelligence techniques for optimizing the manufacture of related technologies, including solar concentrators. In particular the authors present new applications for their neural classifiers for image and pattern recognition. The book will be of interest to researchers in computational intelligence, in particular in the domain of neural networks, and engineers engaged with renewable energy technologies.

Artificial Intelligence in Renewable Energetic Systems

Artificial Intelligence in Renewable Energetic Systems
Smart Sustainable Energy Systems

by Mustapha Hatti

  • Publisher : Springer
  • Release : 2018-03-12
  • Pages : 531
  • ISBN : 3319731920
  • Language : En, Es, Fr & De
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This book includes the latest research presented at the International Conference on Artificial Intelligence in Renewable Energetic Systems held in Tipaza, Algeria on October 22–24, 2017. The development of renewable energy at low cost must necessarily involve the intelligent optimization of energy flows and the intelligent balancing of production, consumption and energy storage. Intelligence is distributed at all levels and allows information to be processed to optimize energy flows according to constraints. This thematic is shaping the outlines of future economies of and offers the possibility of transforming society. Taking advantage of the growing power of the microprocessor makes the complexity of renewable energy systems accessible, especially since the algorithms of artificial intelligence make it possible to take relevant decisions or even reveal unsuspected trends in the management and optimization of renewable energy flows. The book enables those working on energy systems and those dealing with models of artificial intelligence to combine their knowledge and their intellectual potential for the benefit of the scientific community and humanity.

Intelligent Computing Techniques for Smart Energy Systems

Intelligent Computing Techniques for Smart Energy Systems
Proceedings of ICTSES 2018

by Akhtar Kalam,Khaleequr Rehman Niazi,Amit Soni,Shahbaz Ahmed Siddiqui,Ankit Mundra

  • Publisher : Springer Nature
  • Release : 2019-12-16
  • Pages : 1046
  • ISBN : 9811502145
  • Language : En, Es, Fr & De
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The book compiles the research works related to smart solutions concept in context to smart energy systems, maintaining electrical grid discipline and resiliency, computational collective intelligence consisted of interaction between smart devices, smart environments and smart interactions, as well as information technology support for such areas. It includes high-quality papers presented in the International Conference on Intelligent Computing Techniques for Smart Energy Systems organized by Manipal University Jaipur. This book will motivate scholars to work in these areas. The book also prophesies their approach to be used for the business and the humanitarian technology development as research proposal to various government organizations for funding approval.

Corporate Technology Directory

Corporate Technology Directory
A Book

by Anonim

  • Publisher : Unknown Publisher
  • Release : 1995
  • Pages : 129
  • ISBN : 9876543210XXX
  • Language : En, Es, Fr & De
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Artificial Intelligence-Based Energy Management Systems for Smart Micro Grids

Artificial Intelligence-Based Energy Management Systems for Smart Micro Grids
A Book

by Baseem Khan,Sanjeevikumar Padmanaban,Hassan Haes Alhelou,Om Prakash Mahela,S. Rajkumar

  • Publisher : CRC Press
  • Release : 2022
  • Pages : 376
  • ISBN : 9780367754341
  • Language : En, Es, Fr & De
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The text discusses the modeling and optimization of mini and micro grids systems with artificial intelligence and meta-heuristic techniques. It will be an ideal reference text for graduate students and professionals in the fields of electrical engineering, electronics and communication engineering, renewable energy, and clean technologies.

Emerging Trends in Intelligent and Interactive Systems and Applications

Emerging Trends in Intelligent and Interactive Systems and Applications
Proceedings of the 5th International Conference on Intelligent, Interactive Systems and Applications (IISA2020)

by Madjid Tavana,Nadia Nedjah,Reda Alhajj

  • Publisher : Springer Nature
  • Release : 2020-12-17
  • Pages : 1001
  • ISBN : 3030637840
  • Language : En, Es, Fr & De
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This book reports on the proceeding of the 5th International Conference on Intelligent, Interactive Systems and Applications (IISA 2020), held in Shanghai, China, on September 25–27, 2020. The IISA proceedings, with the latest scientific findings, and methods for solving intriguing problems, are a reference for state-of-the-art works on intelligent and interactive systems. This book covers nine interesting and current topics on different systems’ orientations, including Analytical Systems, Database Management Systems, Electronics Systems, Energy Systems, Intelligent Systems, Network Systems, Optimization Systems, and Pattern Recognition Systems and Applications. The chapters included in this book cover significant recent developments in the field, both in terms of theoretical foundations and their practical application. An important characteristic of the works included here is the novelty of the solution approaches to the most interesting applications of intelligent and interactive systems.