Advanced Statistical Modeling Forecasting And Fault Detection In Renewable Energy Systems PDF Download
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| Author | : Fouzi Harrou |
| Publisher | : BoD – Books on Demand |
| Total Pages | : 212 |
| Release | : 2020-04-01 |
| Genre | : Technology & Engineering |
| ISBN | : 1838800913 |
Download Advanced Statistical Modeling, Forecasting, and Fault Detection in Renewable Energy Systems Book in PDF, ePub and Kindle
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.
| Author | : Mustapha Hatti |
| Publisher | : Springer Nature |
| Total Pages | : 517 |
| Release | : |
| Genre | : |
| ISBN | : 3031606299 |
Download IoT-Enabled Energy Efficiency Assessment of Renewable Energy Systems and Micro-grids in Smart Cities Book in PDF, ePub and Kindle
| Author | : Ashutosh Kumar Dubey |
| Publisher | : Woodhead Publishing |
| Total Pages | : 408 |
| Release | : 2022-08-01 |
| Genre | : Science |
| ISBN | : 0323906613 |
Download Artificial Intelligence for Renewable Energy systems Book in PDF, ePub and Kindle
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
| Author | : Mayken Espinoza-Andaluz |
| Publisher | : Springer Nature |
| Total Pages | : 193 |
| Release | : 2022-06-02 |
| Genre | : Technology & Engineering |
| ISBN | : 3030978621 |
Download Congress on Research, Development and Innovation in Renewable Energies Book in PDF, ePub and Kindle
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.
| Author | : Sanjeevikumar Padmanaban |
| Publisher | : Elsevier |
| Total Pages | : 348 |
| Release | : 2023-11-08 |
| Genre | : Technology & Engineering |
| ISBN | : 0443155798 |
Download Power Systems Operation with 100% Renewable Energy Sources Book in PDF, ePub and Kindle
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
| Author | : Fouzi Harrou |
| Publisher | : Elsevier |
| Total Pages | : 270 |
| Release | : 2021-10-05 |
| Genre | : Transportation |
| ISBN | : 0128234334 |
Download Road Traffic Modeling and Management Book in PDF, ePub and Kindle
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
| Author | : Mahalingam Sundhararajan |
| Publisher | : European Alliance for Innovation |
| Total Pages | : 891 |
| Release | : 2021-01-27 |
| Genre | : Social Science |
| ISBN | : 1631902865 |
Download ICASISET 2020 Book in PDF, ePub and Kindle
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.
| Author | : Mejdi Jeguirim |
| Publisher | : Academic Press |
| Total Pages | : 498 |
| Release | : 2022-06-16 |
| Genre | : Science |
| ISBN | : 0323984975 |
Download Renewable Energy Production and Distribution Book in PDF, ePub and Kindle
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
| Author | : Vinit Kumar Gunjan |
| Publisher | : Springer Nature |
| Total Pages | : 686 |
| Release | : |
| Genre | : |
| ISBN | : 9819979544 |
Download Computational Intelligence in Machine Learning Book in PDF, ePub and Kindle
| Author | : Imene Yahyaoui |
| Publisher | : Elsevier |
| Total Pages | : 530 |
| Release | : 2018-02-12 |
| Genre | : Business & Economics |
| ISBN | : 0128132175 |
Download Advances in Renewable Energies and Power Technologies Book in PDF, ePub and Kindle
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
