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Artificial Intelligence in Energy and Renewable Energy Systems

Artificial Intelligence in Energy and Renewable Energy Systems Book
Author : Soteris Kalogirou
Publisher : Nova Publishers
Release : 2007
ISBN : 9781600212611
Language : En, Es, Fr & De

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Book Description :

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 in Renewable Energetic Systems

Artificial Intelligence in Renewable Energetic Systems Book
Author : Mustapha Hatti
Publisher : Springer
Release : 2018-03-12
ISBN : 3319731920
Language : En, Es, Fr & De

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Book Description :

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.

Advances on Computational Intelligence in Energy

Advances on Computational Intelligence in Energy Book
Author : Tutut Herawan,Haruna Chiroma,Jemal H. Abawajy
Publisher : Springer
Release : 2019-07-12
ISBN : 3319698893
Language : En, Es, Fr & De

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Book Description :

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 tables. Providing a valuable resource for undergraduate and postgraduate students alike, it is also intended for researchers in the fields of computational intelligence and energy.

Intelligence in Energy

Intelligence in Energy Book
Author : Gülgün Kayakutlu,Eunika Mercier-Laurent
Publisher : Elsevier
Release : 2017-02-15
ISBN : 008100480X
Language : En, Es, Fr & De

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Book Description :

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 Techniques for a Scalable Energy Transition

Artificial Intelligence Techniques for a Scalable Energy Transition Book
Author : Moamar Sayed-Mouchaweh
Publisher : Springer Nature
Release : 2020-06-19
ISBN : 3030427269
Language : En, Es, Fr & De

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Book Description :

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.).

Intelligent Automation in Renewable Energy

Intelligent Automation in Renewable Energy Book
Author : Tetyana Baydyk,Ernst Kussul,Donald C. Wunsch II
Publisher : Springer
Release : 2019-02-05
ISBN : 3030022366
Language : En, Es, Fr & De

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Book Description :

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.

Energy Management Collective and Computational Intelligence with Theory and Applications

Energy Management   Collective and Computational Intelligence with Theory and Applications Book
Author : Cengiz Kahraman,Gülgün Kayakutlu
Publisher : Springer
Release : 2018-03-21
ISBN : 3319756907
Language : En, Es, Fr & De

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Book Description :

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 Techniques for a Scalable Energy Transition

Artificial Intelligence Techniques for a Scalable Energy Transition Book
Author : Moamar Sayed-Mouchaweh
Publisher : Springer
Release : 2020-06-20
ISBN : 9783030427252
Language : En, Es, Fr & De

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Book Description :

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 Renewables Towards an Energy Transition

Artificial Intelligence and Renewables Towards an Energy Transition Book
Author : Mustapha Hatti
Publisher : Springer Nature
Release : 2021-07-29
ISBN : 3030638464
Language : En, Es, Fr & De

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Book Description :

Download Artificial Intelligence and Renewables Towards an Energy Transition book written by Mustapha Hatti, available in PDF, EPUB, and Kindle, or read full book online anywhere and anytime. Compatible with any devices.

Renewable Energy for Smart and Sustainable Cities

Renewable Energy for Smart and Sustainable Cities Book
Author : Mustapha Hatti
Publisher : Springer
Release : 2018-11-23
ISBN : 303004789X
Language : En, Es, Fr & De

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Book Description :

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.

Arti cial Intelligence in Sustainable Energy Industry Status Quo Challenges and Opportunities

Arti   cial Intelligence in Sustainable Energy Industry  Status Quo  Challenges and Opportunities Book
Author : Dani Wade
Publisher : Unknown
Release : 2021-03-10
ISBN : 0987650XXX
Language : En, Es, Fr & De

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Book Description :

15 examples of artificial intelligence in marketing5 ways artificial intelligence can be used in marketinga qualitative research on marketing and sales in the artificial intelligence agea strategic framework for artificial intelligence in marketingadvantages of artificial intelligence in marketingapplication of artificial intelligence in digital marketingapplication of artificial intelligence in marketingapplication of artificial intelligence in marketing pdfapplications of artificial intelligence in b2b marketingartificial intelligence (ai) in strategic marketing decision-making a research agendaartificial intelligence - the marketing game changerartificial intelligence and machine learning in digital marketingartificial intelligence and machine learning in marketingartificial intelligence banking marketingartificial intelligence concept in marketingartificial intelligence en marketingartificial intelligence for marketingartificial intelligence for marketing bookartificial intelligence in content marketingartificial intelligence in digital marketingartificial intelligence in digital marketing courseartificial intelligence in digital marketing pptartificial intelligence in digital marketing research paperartificial intelligence in digital marketing udemyartificial intelligence in direct marketingartificial intelligence in email marketingartificial intelligence in fashion marketingartificial intelligence in hotel marketingartificial intelligence in marketingartificial intelligence in marketing a bibliographic perspectiveartificial intelligence in marketing analyticsartificial intelligence in marketing automationartificial intelligence in marketing bookartificial intelligence in marketing case studyartificial intelligence in marketing courseartificial intelligence in marketing coursesartificial intelligence in marketing managementartificial intelligence in marketing research paper pdfartificial intelligence in marketing zonesartificial intelligence in social media marketingartificial intelligence in sports marketingartificial intelligence in the domain of marketingartificial intelligence industry marketingartificial intelligence influencer marketingartificial intelligence marketing chinaartificial intelligence marketing companiesartificial intelligence marketing futureartificial intelligence marketing jobsartificial intelligence marketing solutionsartificial intelligence marketing's game changerartificial intelligence on marketingartificial intelligence redefining marketing management and the customer experienceartificial intelligence targeted marketingartificial intelligence transforming marketingbenefits of artificial intelligence in marketingcase study artificial intelligence in marketingdigital marketing in the artificial intelligence and machine learning agedisadvantages of artificial intelligence in marketingevolution of artificial intelligence in marketing comparison with traditional marketingexamples of artificial intelligence in marketingfuture of artificial intelligence in marketinghow ai can be used in marketinghow ai help in marketinghow ai helps in marketinghow artificial intelligence helps in decision makinghow artificial intelligence helps in marketinghow artificial intelligence works in marketinghow does business intelligence help in decision makinghow does business intelligence support decision makinghow is ai used in marketingwhat is artificial intelligence in marketingwhat is future of artificial intelligencewhat is the scope of artificial intelligence in futurewhich of the following statements about artificial intelligence (ai) in marketing is most accuratewhat is artificial intelligence used for in marketingwhat is artificial intelligence in digital marketingwhat are some examples of artificial intelligence

Smart Energy Empowerment in Smart and Resilient Cities

Smart Energy Empowerment in Smart and Resilient Cities Book
Author : Mustapha Hatti
Publisher : Springer Nature
Release : 2019-12-24
ISBN : 3030372073
Language : En, Es, Fr & De

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Book Description :

International Conference on Artificial Intelligence in Renewable Energetic Systems, IC-AIRES2019, 26-28 November 2019, Taghit-Bechar, Algeria. The challenges of the energy transition in the medium term lead to numerous technological breakthroughs in the areas of production, optimal distribution and the rational use of energy and renewable energy (energy efficiency and optimization of consumption, massive electrification, monitoring and control energy systems, cogeneration and energy recovery processes, new and renewable energies, etc.). The fall in the cost of renewable energies and the desire for a local control of energy production are today calling for a profound change in the electricity system. Local authorities are at the center of energy developments by taking into account the local nature of certain energy systems, heat networks, geothermal energy, waste heat recovery, and electricity generation from household waste. On the other side, digital sciences are at the heart of connected objects and intelligent products that combine information processing and communication capabilities with their environment. Digital technology is at the center of new systems engineering approaches (3D modeling, virtualization, simulation, digital prototyping, etc.) for the design and development of intelligent systems. The book deals with various topics ranging from the design, development and maintenance of energy production systems, transport, distribution or storage of energy, optimization of energy efficiency, especially in the use of energy. innovation in the fields of energy production from renewable energies, management of energy networks: electricity, fluids, gas, district heating, energy storage modes: battery, super-capacitors , overseeing energy supply through supervision, control and diagnosis, risk management, as well as the design and management of smart grids: microgrid, smartgrid. This imposes the model of energy empowerment in the advent of smart cities. Empower the world’s most vulnerable energy-poor citizens and establish growing and vibrant socioeconomic communities, by academics, students in engineering and data computing from around the world who have chosen an academic path leading to an electric power and energy engineering and artificial intelligence to advancing technology for the advantage of humanity.

Intelligent Energy Demand Forecasting

Intelligent Energy Demand Forecasting Book
Author : Wei-Chiang Hong
Publisher : Springer Science & Business Media
Release : 2013-03-12
ISBN : 1447149688
Language : En, Es, Fr & De

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Book Description :

As industrial, commercial, and residential demands increase and with the rise of privatization and deregulation of the electric energy industry around the world, it is necessary to improve the performance of electric operational management. Intelligent Energy Demand Forecasting offers approaches and methods to calculate optimal electric energy allocation to reach equilibrium of the supply and demand. Evolutionary algorithms and intelligent analytical tools to improve energy demand forecasting accuracy are explored and explained in relation to existing methods. To provide clearer picture of how these hybridized evolutionary algorithms and intelligent analytical tools are processed, Intelligent Energy Demand Forecasting emphasizes on improving the drawbacks of existing algorithms. Written for researchers, postgraduates, and lecturers, Intelligent Energy Demand Forecasting helps to develop the skills and methods to provide more accurate energy demand forecasting by employing novel hybridized evolutionary algorithms and intelligent analytical tools.

Artificial Intelligence for Smart and Sustainable Energy Systems and Applications

Artificial Intelligence for Smart and Sustainable Energy Systems and Applications Book
Author : Miltiadis D. Lytras,Kwok Tai Chui
Publisher : MDPI
Release : 2020-05-27
ISBN : 303928889X
Language : En, Es, Fr & De

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Book Description :

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 Computing in Smart Grid and Electrical Vehicles

Intelligent Computing in Smart Grid and Electrical Vehicles Book
Author : Kang Li,Yusheng Xue,Shumei Cui,Niu Qun
Publisher : Springer
Release : 2014-10-01
ISBN : 3662452863
Language : En, Es, Fr & De

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Book Description :

This book constitutes the third part of the refereed proceedings of the International Conference on Life System Modeling and Simulation, LSMS 2014, and of the International Conference on Intelligent Computing for Sustainable Energy and Environment, ICSEE 2014, held in Shanghai, China, in September 2014. The 159 revised full papers presented in the three volumes of CCIS 461-463 were carefully reviewed and selected from 572 submissions. The papers of this volume are organized in topical sections on computational intelligence in utilization of clean and renewable energy resources, including fuel cell, hydrogen, solar and winder power, marine and biomass; intelligent modeling, control and supervision for energy saving and pollution reduction; intelligent methods in developing electric vehicles, engines and equipment; intelligent computing and control in distributed power generation systems; intelligent modeling, simulation and control of power electronics and power networks; intelligent road management and electricity marketing strategies; intelligent water treatment and waste management technologies; integration of electric vehicles with smart grid.

Can Artificial Intelligence Avoid Energy and Food Wastage To

Can Artificial Intelligence Avoid Energy and Food Wastage To Book
Author : Johnny Ch Lok
Publisher : Independently Published
Release : 2018-12-19
ISBN : 9781791978303
Language : En, Es, Fr & De

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Book Description :

How artificial intelligence impacts energyconsumers using behavioursNowadays, many countries began to educate citizens who have responsibilities to use energy at homes or offices or public places or any indoor environments in avoiding to do energy wastage behaviours or misuse energy wastge attitudes as well as teaching them have responsibilities to protect their earth's natural environment to reduce air, water pollution in order to void rising temperature to bring globl warm challenge to influence our quality of life to be poor, even facing death threat, due to our natural environment is damaged and polluted by our energy wastage behaviours.In fact, I feel the energy wastage eduction is not one efficient or effective method to persuade every energy consumers, such as householders, office workers, factories workers, any entertainment places workers or enjoyers, such as cinema service staffs, shopping center staffs etc. entertainment places to reduce to use any electricity for light or any entertainment aims to consider themselves working environment or entertainment environment to satisfy, e.g. cinema movie to satisfy customers' needs. For example, private vehicle drivers, public transportation tool drivers, householder energy users, businessmen energy users who still only consider themselves passengers comfortable aims, e.g. spending much electricity often to turn on light in buses, taxi, cars, trams, trains, underground trains in morning or afternoon time. So, these public transportation tools are popular to waste electricity because they expect their passengers to feel comfortable in summer, so they will often turn on air conditioners to keep colder in summer or turn on warmers to keep warmer in winnter all the transportation working hours. So, these drivers are doing energy wastage behaviours. Moreover, these private car drivers only expect to feel comfortable, so they will open air conditioners to keep colder in summer when they are driving cars, even they are stopping cars on the road. So, they are also waste energy.Hence, they will be negligent to consider how to use energy in efficient attitudes or energy saving behaviors in order to avoid energy shortage challenge occurrence. However, since (AI) technology began be popular to be accepted to use by human. (AI) scientists began to carry on researching how to apply (AI) technologies, e.g. big data gathering, robotics to assist human to adapt or learn to use any kinds of energy in efficient and no wastage attitudes or using behaviours habitually.I shall explain how to apply (AI) technology to assist human to adapt to use energy in order to avoid to do energy wastage behaviours easily to every energy users as below: In consumer psychological view point, the behaviours of individuals can have a standard rational choice model, in which people, such as energy users objectively weigh up the costs and benefits of investing time and money into " greening" their homes or offices or any working places or entertainment places or transportation tools being more energy efficiently. So, the social, cognitive and behavioural factors are important in explaining why many energy users, such as householders, vehicles owners or public transportation tool drivers, office workers, businessmen who are neglient to avoid to spend much excessive energy to drive their vehicles on the roads, to turn on lights in offices or any working environment or entertainment places or at homes all days. When they feel that they need more enjoyment, raising productivity, raising service performance to satisfy customers' needs. So, when they weigh economic benefits and cost. They will choose to use more energy to achieve their profit growth or customer number growth or improving quality of life intentions.

Intelligent Integrated Energy Systems

Intelligent Integrated Energy Systems Book
Author : Peter Palensky,Miloš Cvetković,Tamás Keviczky
Publisher : Springer
Release : 2018-10-26
ISBN : 3030000575
Language : En, Es, Fr & De

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Book Description :

This book presents research results of PowerWeb, TU Delft’s consortium for interdisciplinary research on intelligent, integrated energy systems and their role in markets and institutions. In operation since 2012, it acts as a host and information platform for a growing number of projects, ranging from single PhD student projects up to large integrated and international research programs. The group acts in an inter-faculty fashion and brings together experts from electrical engineering, computer science, mathematics, mechanical engineering, technology and policy management, control engineering, civil engineering, architecture, aerospace engineering, and industrial design. The interdisciplinary projects of PowerWeb are typically associated with either of three problem domains: Grid Technology, Intelligence and Society. PowerWeb is not limited to electricity: it bridges heat, gas, and other types of energy with markets, industrial processes, transport, and the built environment, serving as a singular entry point for industry to the University’s knowledge. Via its Industry Advisory Board, a steady link to business owners, manufacturers, and energy system operators is provided.

Mathematical Modeling Computational Intelligence Techniques and Renewable Energy

Mathematical Modeling  Computational Intelligence Techniques and Renewable Energy Book
Author : Manoj Sahni
Publisher : Springer Nature
Release : 2021-07-29
ISBN : 981159953X
Language : En, Es, Fr & De

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Book Description :

Download Mathematical Modeling Computational Intelligence Techniques and Renewable Energy book written by Manoj Sahni, available in PDF, EPUB, and Kindle, or read full book online anywhere and anytime. Compatible with any devices.

Application of Artificial Intelligence Technology to Increase Productivity Quality and Energy Efficiency in Heavy Industry

Application of Artificial Intelligence Technology to Increase Productivity  Quality and Energy Efficiency in Heavy Industry Book
Author : Adam J. Szladow,Canada. Energy Technology Branch
Publisher : Unknown
Release : 1995
ISBN : 0987650XXX
Language : En, Es, Fr & De

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Book Description :

Download Application of Artificial Intelligence Technology to Increase Productivity Quality and Energy Efficiency in Heavy Industry book written by Adam J. Szladow,Canada. Energy Technology Branch, available in PDF, EPUB, and Kindle, or read full book online anywhere and anytime. Compatible with any devices.