Artificial Intelligence For Sustainable Energy
DOWNLOAD
Download Artificial Intelligence For Sustainable Energy PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Artificial Intelligence For Sustainable Energy book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages. If the content not found or just blank you must refresh this page
Renewable Energy For Smart And Sustainable Cities
DOWNLOAD
Author : Mustapha Hatti
language : en
Publisher: Springer
Release Date : 2018-11-23
Renewable Energy For Smart And Sustainable Cities written by Mustapha Hatti and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-11-23 with Technology & Engineering categories.
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.
Applications Of Ai And Iot In Renewable Energy
DOWNLOAD
Author : Rabindra Nath Shaw
language : en
Publisher: Elsevier
Release Date : 2022-02-14
Applications Of Ai And Iot In Renewable Energy written by Rabindra Nath Shaw and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-02-14 with Science categories.
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 a combination of the above in hybrid systems are included. This book is designed to assist with developing low cost, smart and efficient solutions for renewable energy systems and is intended for researchers, academics and industrial communities engaged in the study and performance prediction of renewable energy systems. Includes future applications of AI and IOT in renewable energy Based on case studies to give each chapter real-life context Provides advances in renewable energy using AI and IOT with technical detail and data
Artificial Intelligence For Sustainable Development Theory Practice And Future Applications
DOWNLOAD
Author : Aboul Ella Hassanien
language : en
Publisher: Springer Nature
Release Date : 2020-08-31
Artificial Intelligence For Sustainable Development Theory Practice And Future Applications written by Aboul Ella Hassanien and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-08-31 with Technology & Engineering categories.
This book highlights the latest advances in the field of artificial intelligence and related technologies, with a special focus on sustainable development and environmentally friendly artificial intelligence applications. Discussing theory, applications and research, it covers all aspects of artificial intelligence in the context of sustainable development.
Artificial Intelligence For Renewable Energy Systems
DOWNLOAD
Author : Ajay Kumar Vyas
language : en
Publisher: John Wiley & Sons
Release Date : 2022-03-02
Artificial Intelligence For Renewable Energy Systems written by Ajay Kumar Vyas and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-03-02 with Computers categories.
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.
Introduction To Ai Techniques For Renewable Energy System
DOWNLOAD
Author : Suman Lata Tripathi
language : en
Publisher: CRC Press
Release Date : 2021-11-25
Introduction To Ai Techniques For Renewable Energy System written by Suman Lata Tripathi and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-11-25 with Technology & Engineering categories.
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 undergraduate and graduate students and academicians studying AI techniques used in renewal energy systems.
Artificial Intelligence And Heuristics For Smart Energy Efficiency In Smart Cities
DOWNLOAD
Author : Mustapha Hatti
language : en
Publisher: Springer Nature
Release Date : 2021-11-24
Artificial Intelligence And Heuristics For Smart Energy Efficiency In Smart Cities written by Mustapha Hatti and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-11-24 with Technology & Engineering categories.
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.
Arti Cial Intelligence In Sustainable Energy Industry Status Quo Challenges And Opportunities
DOWNLOAD
Author : Dani Wade
language : en
Publisher:
Release Date : 2021-03-10
Arti Cial Intelligence In Sustainable Energy Industry Status Quo Challenges And Opportunities written by Dani Wade and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-03-10 with categories.
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
Intelligent Renewable Energy Systems
DOWNLOAD
Author : Neeraj Priyadarshi
language : en
Publisher: John Wiley & Sons
Release Date : 2021-12-29
Intelligent Renewable Energy Systems written by Neeraj Priyadarshi and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-12-29 with Computers categories.
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 For Sustainable Finance And Sustainable Technology
DOWNLOAD
Author : Abdalmuttaleb M. A. Musleh Al-Sartawi
language : en
Publisher: Springer Nature
Release Date : 2022-01-01
Artificial Intelligence For Sustainable Finance And Sustainable Technology written by Abdalmuttaleb M. A. Musleh Al-Sartawi and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-01-01 with Technology & Engineering categories.
This book shows latest research on artificial intelligence for sustainable technology. ICGER 2021 was organized by the Accounting, Finance and Banking Department at Ahlia University, Bahrain, and was conducted on the 15th and 16th of September. The strategic partners included the University of Jordan, the Bahrain Economists Society, the Association of Chartered Certified Accountants: ACCA, Al-Barka Banking Group and the International Computer Auditing Education Association: ICAEA . The theme of the ICGER 2021 centered around artificial intelligence for sustainable finance and sustainable technology. Accordingly, the papers presented at the conference provided a holistic view of sustainable finance, sustainability, AI, financial technology, cybersecurity, blockchain, CSR, and governance. This book, unlike ever before, brings together intelligence applications of new technologies and the sustainability requirements in the era of the digital economy, with special attention given to the opportunities, challenges, for education, business growth, and economic progression of nations which will help societies (economists, financial managers, engineers, ICT specialists, digital managers, data managers, policymakers, regulators, researchers, academics, and students) to better understand, use, and control AI applications and financial technologies to develop future strategies and to achieve sustainable development goals.
Ai And Iot For Sustainable Development In Emerging Countries
DOWNLOAD
Author : Zakaria Boulouard
language : en
Publisher: Springer Nature
Release Date : 2022-01-31
Ai And Iot For Sustainable Development In Emerging Countries written by Zakaria Boulouard and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-01-31 with Technology & Engineering categories.
This book comprises a number of state-of-the-art contributions from both scientists and practitioners working in a large pool of fields where AI and IoT can open up new horizons. Artificial intelligence and Internet of Things have introduced themselves today as must-have technologies in almost every sector. Ranging from agriculture to industry and health care, the scope of applications of AI and IoT is as wide as the horizon. Nowadays, these technologies are extensively used in developed countries, but they are still at an early stage in emerging countries. AI and IoT for Sustainable Development in Emerging Countries—Challenges and Opportunities is an invaluable source to dive into the latest applications of AI and IoT and how they have been used by researchers from emerging countries to solve sustainable development-related issues by taking into consideration the specifities of their countries. This book starts by presenting how AI and IoT can tackle the challenges of sustainable development in general and then focuses on the following axes: · AI and IoT for smart environment and energy · Industry 4.0 and intelligent transportation · A vision towards an artificial intelligence of medical things · AI, social media, and big data analytics. It aspires to provide a relevant reference for students, researchers, engineers, and professionals working in these particular areas or those interested in grasping its diverse facets and exploring the latest advances on their respective fields and the role of AI and IoT in them.