Intelligence 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 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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  • Author : Gülgün Kayakutlu
  • Publisher : Elsevier
  • Pages : 252 pages
  • ISBN : 008100480X
  • Rating : 4/5 from 21 reviews
CLICK HERE TO GET THIS BOOKIntelligence in Energy

Intelligence in Energy

Intelligence in Energy
  • Author : Gülgün Kayakutlu,Eunika Mercier-Laurent
  • Publisher : Elsevier
  • Release : 15 February 2017
GET THIS 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 : 29 June 2022
GET THIS 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 : 27 May 2020
GET THIS 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

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 : 01 June 2022
GET THIS 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

Introduction to AI Techniques for Renewable Energy System

Introduction to AI Techniques for Renewable Energy System
  • Author : Suman Lata Tripathi,Mithilesh Kumar Dubey,Vinay Rishiwal,Sanjeevikumar Padmanaban
  • Publisher : CRC Press
  • Release : 24 November 2021
GET THIS BOOKIntroduction to AI Techniques for Renewable Energy System

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

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 : 22 November 2021
GET THIS 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.

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 : 15 August 2022
GET THIS 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

Applications of AI and IOT in Renewable Energy

Applications of AI and IOT in Renewable Energy
  • Author : Rabindra Nath Shaw,Ankush Ghosh,Saad Mekhilef,Valentina Emilia Balas
  • Publisher : Academic Press
  • Release : 15 February 2022
GET THIS BOOKApplications of AI and IOT in Renewable Energy

Applications of AI and IOT in Renewable Energy provides a future vision of unexplored areas and applications for Artificial Intelligence and Internet of Things in sustainable energy systems. The ideas presented in this book are backed up by original, unpublished technical research results covering topics like smart solar energy systems, intelligent dc motors and energy efficiency study of electric vehicles. In all these areas and more, applications of artificial intelligence methods, including artificial neural networks, genetic algorithms, fuzzy logic and

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 : 08 February 2022
GET THIS 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

Artificial Intelligence and Renewables Towards an Energy Transition

Artificial Intelligence and Renewables Towards an Energy Transition
  • Author : Mustapha Hatti
  • Publisher : Springer Nature
  • Release : 17 December 2020
GET THIS 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.

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 : 21 March 2018
GET THIS 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

Renewable Energy for Smart and Sustainable Cities

Renewable Energy for Smart and Sustainable Cities
  • Author : Mustapha Hatti
  • Publisher : Springer
  • Release : 23 November 2018
GET THIS 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

Advances on Computational Intelligence in Energy

Advances on Computational Intelligence in Energy
  • Author : Tutut Herawan,Haruna Chiroma,Jemal H. Abawajy
  • Publisher : Springer
  • Release : 12 July 2019
GET THIS BOOKAdvances on Computational Intelligence in Energy

Addressing the applications of computational intelligence algorithms in energy, this book presents a systematic procedure that illustrates the practical steps required for applying bio-inspired, meta-heuristic algorithms in energy, such as the prediction of oil consumption and other energy products. Contributions include research findings, projects, surveying work and industrial experiences that describe significant advances in the applications of computational intelligence algorithms in energy. For easy understanding, the text provides practical simulation results, convergence and learning curves as well as illustrations and

Artificial Intelligence for Renewable Energy Systems

Artificial Intelligence for Renewable Energy Systems
  • Author : Ajay Kumar Vyas,S. Balamurugan,Kamal Kant Hiran,Harsh Dhiman
  • Publisher : Wiley-Scrivener
  • Release : 15 March 2022
GET THIS 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