Intelligence in Energy

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  • Publisher : Elsevier
  • Release : 15 February 2017
  • ISBN : 9780081004807
  • Page : 252 pages
  • Rating : 4.5/5 from 103 voters

Intelligence in Energy Book PDF summary

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

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Intelligence in Energy

Intelligence in Energy
  • Author : Gülgün Kayakutlu,Eunika Mercier-Laurent
  • Publisher : Elsevier
  • Release Date : 2017-02-15
  • ISBN : 9780081004807
DOWNLOAD BOOKIntelligence in Energy

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

Artificial Intelligence in Energy and Renewable Energy Systems

Artificial Intelligence in Energy and Renewable Energy Systems
  • Author : Soteris Kalogirou
  • Publisher : Nova Publishers
  • Release Date : 2007
  • ISBN : 1600212611
DOWNLOAD BOOKArtificial Intelligence in Energy and Renewable Energy Systems

This book presents state of the art applications of artificial intelligence in energy and renewable energy systems design and modelling. It covers such topics as solar energy, wind energy, biomass and hydrogen as well as building services systems, power generation systems, combustion processes and refrigeration. 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

Artificial Intelligence for Smart and Sustainable Energy Systems and Applications

Artificial Intelligence for Smart and Sustainable Energy Systems and Applications
  • Author : Miltiadis D. Lytras,Kwok Tai Chui
  • Publisher : MDPI
  • Release Date : 2020-05-27
  • ISBN : 9783039288892
DOWNLOAD BOOKArtificial Intelligence for Smart and Sustainable Energy Systems and Applications

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

Artificial Intelligence for Renewable Energy systems

Artificial Intelligence for Renewable Energy systems
  • Author : Ashutosh Kumar Dubey,Sushil Narang,Arun Lal Srivastav,Abhishek Kumar,Vicente García-Díaz
  • Publisher : Woodhead Publishing
  • Release Date : 2022-08-01
  • ISBN : 9780323906616
DOWNLOAD BOOKArtificial Intelligence for Renewable Energy systems

Artificial Intelligence for Renewable Energy Systems addresses the energy industries remarkable move from traditional power generation to a cost-effective renewable energy system, and most importantly, the paradigm shift from a market-based cost of the commodity to market-based technological advancements. Featuring recent developments and state-of-the-art applications of artificial intelligence in renewable energy systems design, the book emphasizes how AI supports effective prediction for energy generation, electric grid related line loss prediction, load forecasting, and for predicting equipment failure prevention. Looking at

Artificial Intelligence and Internet of Things for Renewable Energy Systems

Artificial Intelligence and Internet of Things for Renewable Energy Systems
  • Author : Neeraj Priyadarshi,Sanjeevikumar Padmanaban,Kamal Kant Hiran,Jens Bo Holm-Nielson,Ramesh C. Bansal
  • Publisher : Walter de Gruyter GmbH & Co KG
  • Release Date : 2021-11-22
  • ISBN : 9783110714043
DOWNLOAD BOOKArtificial Intelligence and Internet of Things for Renewable Energy Systems

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.

Intelligent Renewable Energy Systems

Intelligent Renewable Energy Systems
  • Author : Neeraj Priyadarshi,Akash Kumar Bhoi,Sanjeevikumar Padmanaban,S. Balamurugan,Jens Bo Holm-Nielsen
  • Publisher : John Wiley & Sons
  • Release Date : 2022-02-08
  • ISBN : 9781119786276
DOWNLOAD BOOKIntelligent Renewable Energy Systems

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

Advances of Artificial Intelligence in a Green Energy Environment

Advances of Artificial Intelligence in a Green Energy Environment
  • Author : Pandian Vasant,Joshua Thomas,Elias Munapo,Gerhard-Wilhelm Weber
  • Publisher : Academic Press
  • Release Date : 2022-06-01
  • ISBN : 9780323885744
DOWNLOAD BOOKAdvances of Artificial Intelligence in a Green Energy Environment

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

Artificial Intelligence and Heuristics for Smart Energy Efficiency in Smart Cities

Artificial Intelligence and Heuristics for Smart Energy Efficiency in Smart Cities
  • Author : Mustapha Hatti
  • Publisher : Springer Nature
  • Release Date : 2022
  • ISBN : 9783030920388
DOWNLOAD BOOKArtificial Intelligence and Heuristics for Smart Energy Efficiency in Smart Cities

This book emphasizes the role of micro-grid systems and connected networks for the strategic storage of energy through the use of information and communication techniques, big data, the cloud, and meta-heuristics to support the greed for artificial intelligence techniques in data and the implementation of global strategies to meet the challenges of the city in the broad sense. The intelligent management of renewable energy in the context of the energy transition requires the use of techniques and tools based on

Energy Management—Collective and Computational Intelligence with Theory and Applications

Energy Management—Collective and Computational Intelligence with Theory and Applications
  • Author : Cengiz Kahraman,Gülgün Kayakutlu
  • Publisher : Springer
  • Release Date : 2018-03-21
  • ISBN : 9783319756905
DOWNLOAD BOOKEnergy Management—Collective and Computational Intelligence with Theory and Applications

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

Artificial Intelligence for Renewable Energy Systems

Artificial Intelligence for Renewable Energy Systems
  • Author : Ajay Kumar Vyas,S. Balamurugan,Kamal Kant Hiran,Harsh S. Dhiman
  • Publisher : John Wiley & Sons
  • Release Date : 2022-03-02
  • ISBN : 9781119761693
DOWNLOAD BOOKArtificial Intelligence for Renewable Energy Systems

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

Intelligent Renewable Energy Systems

Intelligent Renewable Energy Systems
  • Author : Gerasimos Rigatos
  • Publisher : Springer
  • Release Date : 2016-08-06
  • ISBN : 9783319391564
DOWNLOAD BOOKIntelligent Renewable Energy Systems

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

Artificial Intelligence and Renewables Towards an Energy Transition

Artificial Intelligence and Renewables Towards an Energy Transition
  • Author : Mustapha Hatti
  • Publisher : Springer Nature
  • Release Date : 2020-12-17
  • ISBN : 9783030638467
DOWNLOAD BOOKArtificial Intelligence and Renewables Towards an Energy Transition

This proceedings book emphasizes adopting artificial intelligence-based and sustainable energy efficiency integrated with clear objectives, to involve researchers, students, and specialists in their development and implementation adequately in achieving objectives. The integration of artificial intelligence into renewable energetic systems would allow the rapid development of a knowledge-based economy suitable to the energy transition, while fully integrating the renewables into the global economy. This is how artificial intelligence has hand in by conceptualizing this transition and above all by saving time.

Renewable Energy for Smart and Sustainable Cities

Renewable Energy for Smart and Sustainable Cities
  • Author : Mustapha Hatti
  • Publisher : Springer
  • Release Date : 2018-11-23
  • ISBN : 9783030047894
DOWNLOAD BOOKRenewable Energy for Smart and Sustainable Cities

This book features cutting-edge research presented at the second international conference on Artificial Intelligence in Renewable Energetic Systems, IC-AIRES2018, held on 24–26 November 2018, at the High School of Commerce, ESC-Koléa in Tipaza, Algeria. Today, the fundamental challenge of integrating renewable energies into the design of smart cities is more relevant than ever. While based on the advent of big data and the use of information and communication technologies, smart cities must now respond to cross-cutting issues involving urban development, energy

Intelligent Automation in Renewable Energy

Intelligent Automation in Renewable Energy
  • Author : Tetyana Baydyk,Ernst Kussul,Donald C. Wunsch II
  • Publisher : Springer
  • Release Date : 2019-02-05
  • ISBN : 9783030022365
DOWNLOAD BOOKIntelligent Automation in Renewable Energy

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-Based Energy Management Systems for Smart Micro Grids

Artificial Intelligence-Based Energy Management Systems for Smart Micro Grids
  • Author : Baseem Khan,Sanjeevikumar Padmanaban,Hassan Haes Alhelou,Om Prakash Mahela,S. Rajkumar
  • Publisher : CRC Press
  • Release Date : 2022
  • ISBN : 0367754347
DOWNLOAD BOOKArtificial Intelligence-Based Energy Management Systems for Smart Micro Grids

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.