Intelligence in Energy Book

Intelligence in Energy


  • Author : Gülgün Kayakutlu
  • Publisher : Elsevier
  • Release Date : 2017-02-15
  • Genre: Technology & Engineering
  • Pages : 252
  • ISBN 10 : 9780081004807

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Intelligence in Energy Excerpt :

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

Artificial Intelligence in Energy and Renewable Energy Systems Book

Artificial Intelligence in Energy and Renewable Energy Systems


  • Author : Soteris Kalogirou
  • Publisher : Nova Publishers
  • Release Date : 2007
  • Genre: Science
  • Pages : 471
  • ISBN 10 : 1600212611

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Artificial Intelligence in Energy and Renewable Energy Systems Excerpt :

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 wide audience ranging from the undergraduate level up to the research academic and industrial communities dealing with modelling and performance prediction of energy and renewable energy systems.

Artificial Intelligence for Smart and Sustainable Energy Systems and Applications Book

Artificial Intelligence for Smart and Sustainable Energy Systems and Applications


  • Author : Miltiadis D. Lytras
  • Publisher : MDPI
  • Release Date : 2020-05-27
  • Genre: Technology & Engineering
  • Pages : 258
  • ISBN 10 : 9783039288892

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Artificial Intelligence for Smart and Sustainable Energy Systems and Applications Excerpt :

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 Book

Intelligent Renewable Energy Systems


  • Author : Neeraj Priyadarshi
  • Publisher : John Wiley & Sons
  • Release Date : 2022-01-19
  • Genre: Computers
  • Pages : 484
  • ISBN 10 : 9781119786276

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Intelligent Renewable Energy Systems Excerpt :

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.

Artificial Intelligence Techniques for a Scalable Energy Transition Book

Artificial Intelligence Techniques for a Scalable Energy Transition


  • Author : Moamar Sayed-Mouchaweh
  • Publisher : Springer
  • Release Date : 2021-06-21
  • Genre: Technology & Engineering
  • Pages : 382
  • ISBN 10 : 3030427285

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Artificial Intelligence Techniques for a Scalable Energy Transition Excerpt :

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.).

Artificial Intelligence and Heuristics for Smart Energy Efficiency in Smart Cities Book
Score: 5
From 1 Ratings

Artificial Intelligence and Heuristics for Smart Energy Efficiency in Smart Cities


  • Author : Mustapha Hatti
  • Publisher : Springer Nature
  • Release Date : 2021-11-24
  • Genre: Technology & Engineering
  • Pages : 927
  • ISBN 10 : 9783030920388

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Artificial Intelligence and Heuristics for Smart Energy Efficiency in Smart Cities Excerpt :

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 artificial intelligence (AI) to overcome the challenges of the intermittence of resources and the cost of energy. The advent of the smart city makes an increased call for the integration of artificial intelligence and heuristics to meet the challenge of the increasing migration of populations to the city, in order to ensure food, energy, and environmental security of the citizen of the city and his well-being. This book is intended for policymakers, academics, practitioners, and students. Several real cases are exposed throughout the book to illustrate the concepts and methods of the networks and systems presented. This book proposes the development of new technological innovations—mainly ICT—the concept of “Smart City” appears as a means of achieving more efficient and sustainable cities. The overall goal of the book is to develop a comprehensive framework to help public and private stakeholders make informed decisions on smart city investment strategies and develop skills for assessment and prioritization, including resolution of difficulties with deployment and reproducibility.

Energy Management   Collective and Computational Intelligence with Theory and Applications Book

Energy Management Collective and Computational Intelligence with Theory and Applications


  • Author : Cengiz Kahraman
  • Publisher : Springer
  • Release Date : 2018-03-21
  • Genre: Technology & Engineering
  • Pages : 554
  • ISBN 10 : 9783319756905

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Energy Management Collective and Computational Intelligence with Theory and Applications Excerpt :

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

Artificial Intelligence and Internet of Things for Renewable Energy Systems Book

Artificial Intelligence and Internet of Things for Renewable Energy Systems


  • Author : Neeraj Priyadarshi
  • Publisher : Walter de Gruyter GmbH & Co KG
  • Release Date : 2021-11-22
  • Genre: Computers
  • Pages : 318
  • ISBN 10 : 9783110714043

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Artificial Intelligence and Internet of Things for Renewable Energy Systems Excerpt :

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 Renewable Energy systems Book

Artificial Intelligence for Renewable Energy systems


  • Author : Ashutosh Kumar Dubey
  • Publisher : Woodhead Publishing
  • Release Date : 2022-08-01
  • Genre: Science
  • Pages : 408
  • ISBN 10 : 9780323906616

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Artificial Intelligence for Renewable Energy systems Excerpt :

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 approaches in system modeling and performance prediction of renewable energy systems, this volume covers power generation systems, building service systems and combustion processes, exploring advances in machine learning, artificial neural networks, fuzzy logic, genetic algorithms and hybrid mechanisms. Includes real-time applications that illustrates artificial intelligence and machine learning for various renewable systems Features a templated approach that can be used to explore results, with scientific implications followed by detailed case studies Covers computational capabilities and varieties for renewable system design

Advances of Artificial Intelligence in a Green Energy Environment Book

Advances of Artificial Intelligence in a Green Energy Environment


  • Author : Pandian Vasant
  • Publisher : Academic Press
  • Release Date : 2022-06-01
  • Genre: Science
  • Pages : 414
  • ISBN 10 : 9780323885744

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Advances of Artificial Intelligence in a Green Energy Environment Excerpt :

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

Introduction to AI Techniques for Renewable Energy System Book

Introduction to AI Techniques for Renewable Energy System


  • Author : Suman Lata Tripathi
  • Publisher : CRC Press
  • Release Date : 2021-11-24
  • Genre: Technology & Engineering
  • Pages : 432
  • ISBN 10 : 9781000392456

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Introduction to AI Techniques for Renewable Energy System Excerpt :

Introduction to AI techniques for Renewable Energy System Artificial Intelligence (AI) techniques play an essential role in modeling, analysis, and prediction of the performance and control of renewable energy. The algorithms used to model, control, or predict performances of the energy systems are complicated, involving differential equations, enormous computing power, and time requirements. Instead of complex rules and mathematical routines, AI techniques can learn critical information patterns within a multidimensional information domain. Design, control, and operation of renewable energy systems require a long-term series of meteorological data such as solar radiation, temperature, or wind data. Such long-term measurements are often non-existent for most of the interest locations or, wherever they are available, they suffer from several shortcomings, like inferior quality of data, and in-sufficient long series. The book focuses on AI techniques to overcome these problems. It summarizes commonly used AI methodologies in renewal energy, with a particular emphasis on neural networks, fuzzy logic, and genetic algorithms. It outlines selected AI applications for renewable energy. In particular, it discusses methods using the AI approach for prediction and modeling of solar radiation, seizing, performances, and controls of the solar photovoltaic (PV) systems. Features Focuses on a significant area of concern to develop a foundation for the implementation of renewable energy system with intelligent techniques Showcases how researchers working on renewable energy systems can correlate their work with intelligent and machine learning approaches Highlights international standards for intelligent renewable energy systems design, reliability, and maintenance Provides insights on solar cell, biofuels, wind, and other renewable energy systems design and characterization, including the equipment for smart energy systems This book, which includes real-life examples, is aimed at

Artificial Intelligence and Renewables Towards an Energy Transition Book

Artificial Intelligence and Renewables Towards an Energy Transition


  • Author : Mustapha Hatti
  • Publisher : Springer Nature
  • Release Date : 2020-12-17
  • Genre: Technology & Engineering
  • Pages : 990
  • ISBN 10 : 9783030638467

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Artificial Intelligence and Renewables Towards an Energy Transition Excerpt :

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. The knowledge economy is valuated within the smart cities, which are fast becoming the favorite places where the energy transition will take place efficiently and intelligently by implementing integrated approaches to energy saving and energy supply and integrated urban approaches that go beyond individual interventions in buildings or transport modes using information and communication technologies.

Artificial Intelligence for Renewable Energy Systems Book

Artificial Intelligence for Renewable Energy Systems


  • Author : Ajay Kumar Vyas
  • Publisher : John Wiley & Sons
  • Release Date : 2022-03-02
  • Genre: Computers
  • Pages : 276
  • ISBN 10 : 9781119761693

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Artificial Intelligence for Renewable Energy Systems Excerpt :

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.

Renewable Energy for Smart and Sustainable Cities Book
Score: 5
From 1 Ratings

Renewable Energy for Smart and Sustainable Cities


  • Author : Mustapha Hatti
  • Publisher : Springer
  • Release Date : 2018-11-23
  • Genre: Technology & Engineering
  • Pages : 569
  • ISBN 10 : 9783030047894

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Renewable Energy for Smart and Sustainable Cities Excerpt :

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 and environmental constraints; further, these cities must also explore how they can integrate more sustainable energies. Sustainable energies are a major determinant of smart cities’ longevity. From an environmental and technological standpoint, these energies offer an optimal power supply to the electric network while creating significantly less pollution. This requires flexibility, i.e., the availability of supply and demand. The end goal of any smart city is to improve the quality of life for all citizens (both in the city and in the countryside) in a way that is sustainable and respectful of the environment. This book encourages the reader to engage in the preservation of our environment, every moment, every day, so as to help build a clean and healthy future, and to think of the future generations who will one day inherit our planet. Further, it equips those whose work involves energy systems and those engaged in modelling artificial intelligence to combine their expertise for the benefit of the scientific community and humanity as a whole.

Artificial Intelligence for High Energy Physics Book

Artificial Intelligence for High Energy Physics


  • Author : Paolo Calafiura
  • Publisher : World Scientific Publishing Company
  • Release Date : 2022
  • Genre: Computers
  • Pages : 0
  • ISBN 10 : 9811234027

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Artificial Intelligence for High Energy Physics Excerpt :

The Higgs boson discovery at the Large Hadron Collider in 2012 relied on boosted decision trees. Since then, high energy physics (HEP) has applied modern machine learning (ML) techniques to all stages of the data analysis pipeline, from raw data processing to statistical analysis. The unique requirements of HEP data analysis, the availability of high-quality simulators, the complexity of the data structures (which rarely are image-like), the control of uncertainties expected from scientific measurements, and the exabyte-scale datasets require the development of HEP-specific ML techniques. While these developments proceed at full speed along many paths, the nineteen reviews in this book offer a self-contained, pedagogical introduction to ML models' real-life applications in HEP, written by some of the foremost experts in their area.