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EBookClubs

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Book Advanced Statistical Modeling  Forecasting  and Fault Detection in Renewable Energy Systems

Download or read book Advanced Statistical Modeling Forecasting and Fault Detection in Renewable Energy Systems written by Fouzi Harrou and published by BoD – Books on Demand. This book was released on 2020-04-01 with total page 212 pages. Available in PDF, EPUB and Kindle. Book excerpt: Fault detection, control, and forecasting have a vital role in renewable energy systems (Photovoltaics (PV) and wind turbines (WTs)) to improve their productivity, ef?ciency, and safety, and to avoid expensive maintenance. For instance, the main crucial and challenging issue in solar and wind energy production is the volatility of intermittent power generation due mainly to weather conditions. This fact usually limits the integration of PV systems and WTs into the power grid. Hence, accurately forecasting power generation in PV and WTs is of great importance for daily/hourly efficient management of power grid production, delivery, and storage, as well as for decision-making on the energy market. Also, accurate and prompt fault detection and diagnosis strategies are required to improve efficiencies of renewable energy systems, avoid the high cost of maintenance, and reduce risks of fire hazards, which could affect both personnel and installed equipment. This book intends to provide the reader with advanced statistical modeling, forecasting, and fault detection techniques in renewable energy systems.

Book Artificial Intelligence for Renewable Energy systems

Download or read book Artificial Intelligence for Renewable Energy systems written by Ashutosh Kumar Dubey and published by Woodhead Publishing. This book was released on 2022-08-01 with total page 408 pages. Available in PDF, EPUB and Kindle. Book 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

Book Congress on Research  Development and Innovation in Renewable Energies

Download or read book Congress on Research Development and Innovation in Renewable Energies written by Mayken Espinoza-Andaluz and published by Springer Nature. This book was released on 2022-06-02 with total page 193 pages. Available in PDF, EPUB and Kindle. Book excerpt: The 2021 Congress on Research, Development and Innovation in Renewable Energies (CIDiER 2021) aims to promote international collaboration that fosters ideas and dialogue on developing a solution to climate change through research and development that leads to clean energy innovation via renewable energies. These selected papers cover both theoretical and applied research that will strengthen the implementation of renewable energy projects between universities, research centers, and private companies.

Book Power Systems Operation with 100  Renewable Energy Sources

Download or read book Power Systems Operation with 100 Renewable Energy Sources written by Sanjeevikumar Padmanaban and published by Elsevier. This book was released on 2023-11-08 with total page 348 pages. Available in PDF, EPUB and Kindle. Book excerpt: Power Systems Operation with 100% Renewable Energy Sources combines fundamental concepts of renewable energy integration into power systems with real-world case studies to bridge the gap between theory and implementation. The book examines the challenges and solutions for renewable energy integration into the transmission and distribution grids, and also provides information on design, analysis and operation. Starting with an introduction to renewable energy sources and bulk power systems, including policies and frameworks for grid upgradation, the book then provides forecasting, modeling and analysis techniques for renewable energy sources. Subsequent chapters discuss grid code requirements and compliance, before presenting a detailed break down of solar and wind integration into power systems. Other topics such as voltage control and optimization, power quality enhancement, and stability control are also considered. Filled with case studies, applications and techniques, Power Systems Operation with 100% Renewable Energy Sources is a valuable read to researchers, students and engineers working towards more sustainable power systems. Explains Volt/Var control and optimization for both transmission grid and distribution Discusses renewable energy integration into the weak grid system, along with its challenges, examples, and case studies Offers simulation examples of renewable energy integration studies that readers will perform using advanced simulation tools Presents recent trends like energy storage systems and demand responses for improving stability and reliability

Book Road Traffic Modeling and Management

Download or read book Road Traffic Modeling and Management written by Fouzi Harrou and published by Elsevier. This book was released on 2021-10-05 with total page 270 pages. Available in PDF, EPUB and Kindle. Book excerpt: Road Traffic Modeling and Management: Using Statistical Monitoring and Deep Learning provides a framework for understanding and enhancing road traffic monitoring and management. The book examines commonly used traffic analysis methodologies as well the emerging methods that use deep learning methods. Other sections discuss how to understand statistical models and machine learning algorithms and how to apply them to traffic modeling, estimation, forecasting and traffic congestion monitoring. Providing both a theoretical framework along with practical technical solutions, this book is ideal for researchers and practitioners who want to improve the performance of intelligent transportation systems. Provides integrated, up-to-date and complete coverage of the key components for intelligent transportation systems: traffic modeling, forecasting, estimation and monitoring Uses methods based on video and time series data for traffic modeling and forecasting Includes case studies, key processes guidance and comparisons of different methodologies

Book ICASISET 2020

    Book Details:
  • Author : Mahalingam Sundhararajan
  • Publisher : European Alliance for Innovation
  • Release : 2021-01-27
  • ISBN : 1631902865
  • Pages : 891 pages

Download or read book ICASISET 2020 written by Mahalingam Sundhararajan and published by European Alliance for Innovation. This book was released on 2021-01-27 with total page 891 pages. Available in PDF, EPUB and Kindle. Book excerpt: We are delighted to introduce the proceedings of the first edition of the 2020 European Alliance for Innovation (EAI) International Conference on Advanced Scientific Innovation in Science, Engineering and Technology. This conference has brought innovative academics, industrial experts researchers, developers and practitioners around the world in the field of Science, Engineering and Technology to a common forum. The technical program of ICASISET 2020 consisted of 97 full papers, including 6 invited papers in oral presentation sessions at the main conference tracks. The conference tracks were: Innovative Computing, Advanced innovation technology in Communication, Industry automation, hydrogen hybrid machine, computing in medical applications, Image processing and Internet of Things (IoT) and application. Aside from the high-quality technical paper presentations, the technical program also featured two keynote speeches, one invited talk and two technical workshops. The two keynote speeches were Dr. Hoshang Kolivand, Senior Lecturer, Liverpool John moores University, United Kingdom and Dr. Sheldon Williamson from Canada Research Chair in Electric Energy Storage Systems for Transportation Electrification and Professor in the Department of Electrical, Computer and Software Engineering, Ontario Tech University. The two workshops organized were in the topics of Machine learning and Industrial applications. The workshop aimed to gain insights into key challenges, understanding and design criteria of employing recent technologies to develop and implement computational techniques and applications.

Book Renewable Energy Production and Distribution

Download or read book Renewable Energy Production and Distribution written by Mejdi Jeguirim and published by Academic Press. This book was released on 2022-06-16 with total page 498 pages. Available in PDF, EPUB and Kindle. Book excerpt: Renewable Energy Production and Distribution: Recent Developments covers critical research and industry developments on renewable energy, including technological, production, conversion, storage and management. This updated volume provides recent developments in solar energy systems (thermal and photovoltaic), wind energy, hydropower, geothermal energy, bioenergy production and hydrogen production, with the addition of fuel cell technology for this new release. Technology advancements include resources assessment and deployment, materials performance improvement, system optimization and sizing, instrumentation and control, modeling and simulation, and regulations and policies. Each chapter examines advances in specific renewable energy systems, providing theoretical and applied aspects of system optimization, control and management. Global case studies demonstrate practical applications and economical and environmental aspects through lifecycle analysis. The book will be of interest to engineering graduates, researchers, professors and industry professionals involved in the renewable energy sector and advanced engineering courses dealing with renewable energy, sources, thermal and electrical energy production and sustainability. Addresses the advantages and disadvantages of all renewable technologies Includes global case studies that demonstrate the practical applications of renewable energy production and distribution Features videos and slideshows in the online e-Book for application tutorials

Book Computational Intelligence in Machine Learning

Download or read book Computational Intelligence in Machine Learning written by Vinit Kumar Gunjan and published by Springer Nature. This book was released on with total page 686 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book Advances in Renewable Energies and Power Technologies

Download or read book Advances in Renewable Energies and Power Technologies written by Imene Yahyaoui and published by Elsevier. This book was released on 2018-02-12 with total page 530 pages. Available in PDF, EPUB and Kindle. Book excerpt: Advances in Renewable Energies and Power Technologies: Volume 1: Solar and Wind Energies examines both the theoretical and practical elements of renewable energy sources, such as photovoltaics, solar, photothermal and wind energies. Yahyaoui and a team of expert contributors present the most up-to-date information and analysis on renewable energy generation technologies in this comprehensive resource. Covers the principles and methods of each technology, an analysis of their implementation, management and optimization, and related economic advantages and limitations. Features recent case studies and models of each technology. A valuable resource for anyone working in the renewable energy field or wanting to learn more about theoretical and technological aspects of the most recent inventions and research in the field. Offers a comprehensive guide to the most advanced contemporary renewable power generation technologies written by a team of top experts Discusses the energy optimization, control and limitations of each technology, as well as a detailed economic study of the associated costs of implementation and management Includes global case studies and models to exemplify the technological possibilities and limitations of each power generation method

Book Wind Turbines

Download or read book Wind Turbines written by Frede Blaabjerg and published by MDPI. This book was released on 2019-01-11 with total page 329 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is a printed edition of the Special Issue "Wind Turbines" that was published in Energies

Book Renewable Energy Resource Assessment and Forecasting

Download or read book Renewable Energy Resource Assessment and Forecasting written by George Galanis and published by MDPI. This book was released on 2020-11-27 with total page 306 pages. Available in PDF, EPUB and Kindle. Book excerpt: In recent years, several projects and studies have been launched towards the development and use of new methodologies, in order to assess, monitor, and support clean forms of energy. Accurate estimation of the available energy potential is of primary importance, but is not always easy to achieve. The present Special Issue on ‘Renewable Energy Resource Assessment and Forecasting’ aims to provide a holistic approach to the above issues, by presenting multidisciplinary methodologies and tools that are able to support research projects and meet today’s technical, socio-economic, and decision-making needs. In particular, research papers, reviews, and case studies on the following subjects are presented: wind, wave and solar energy; biofuels; resource assessment of combined renewable energy forms; numerical models for renewable energy forecasting; integrated forecasted systems; energy for buildings; sustainable development; resource analysis tools and statistical models; extreme value analysis and forecasting for renewable energy resources.

Book Advanced Data Analytics for Power Systems

Download or read book Advanced Data Analytics for Power Systems written by Ali Tajer and published by Cambridge University Press. This book was released on 2021-04-08 with total page 601 pages. Available in PDF, EPUB and Kindle. Book excerpt: Experts in data analytics and power engineering present techniques addressing the needs of modern power systems, covering theory and applications related to power system reliability, efficiency, and security. With topics spanning large-scale and distributed optimization, statistical learning, big data analytics, graph theory, and game theory, this is an essential resource for graduate students and researchers in academia and industry with backgrounds in power systems engineering, applied mathematics, and computer science.

Book Big Data

    Book Details:
  • Author : John Storm Pedersen
  • Publisher : Edward Elgar Publishing
  • Release : 2019
  • ISBN : 1788112350
  • Pages : 416 pages

Download or read book Big Data written by John Storm Pedersen and published by Edward Elgar Publishing. This book was released on 2019 with total page 416 pages. Available in PDF, EPUB and Kindle. Book excerpt: Promise, Application and Pitfalls

Book Artificial Intelligence for Renewable Energy Systems

Download or read book Artificial Intelligence for Renewable Energy Systems written by Ajay Kumar Vyas and published by John Wiley & Sons. This book was released on 2022-03-02 with total page 276 pages. Available in PDF, EPUB and Kindle. Book 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.

Book Big Data Application in Power Systems

Download or read book Big Data Application in Power Systems written by Reza Arghandeh and published by Elsevier. This book was released on 2017-11-27 with total page 480 pages. Available in PDF, EPUB and Kindle. Book excerpt: Big Data Application in Power Systems brings together experts from academia, industry and regulatory agencies who share their understanding and discuss the big data analytics applications for power systems diagnostics, operation and control. Recent developments in monitoring systems and sensor networks dramatically increase the variety, volume and velocity of measurement data in electricity transmission and distribution level. The book focuses on rapidly modernizing monitoring systems, measurement data availability, big data handling and machine learning approaches to process high dimensional, heterogeneous and spatiotemporal data. The book chapters discuss challenges, opportunities, success stories and pathways for utilizing big data value in smart grids. Provides expert analysis of the latest developments by global authorities Contains detailed references for further reading and extended research Provides additional cross-disciplinary lessons learned from broad disciplines such as statistics, computer science and bioinformatics Focuses on rapidly modernizing monitoring systems, measurement data availability, big data handling and machine learning approaches to process high dimensional, heterogeneous and spatiotemporal data

Book Handbook of Wind Power Systems

Download or read book Handbook of Wind Power Systems written by Panos M. Pardalos and published by Springer Science & Business Media. This book was released on 2014-01-15 with total page 839 pages. Available in PDF, EPUB and Kindle. Book excerpt: Wind power is currently considered as the fastest growing energy resource in the world. Technological advances and government subsidies have contributed in the rapid rise of Wind power systems. The Handbook on Wind Power Systems provides an overview on several aspects of wind power systems and is divided into four sections: optimization problems in wind power generation, grid integration of wind power systems, modeling, control and maintenance of wind facilities and innovative wind energy generation. The chapters are contributed by experts working on different aspects of wind energy generation and conversion.