Spatio Temporal Data Analytics For Wind Energy Integration

Author : Lei Yang,Miao He,Junshan Zhang,Vijay Vittal
Publisher : Springer
Page : 80 pages
File Size : 50,8 Mb
Release : 2014-11-14
Category : Technology & Engineering
ISBN : 9783319123196

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Spatio-Temporal Data Analytics for Wind Energy Integration by Lei Yang,Miao He,Junshan Zhang,Vijay Vittal Pdf

This SpringerBrief presents spatio-temporal data analytics for wind energy integration using stochastic modeling and optimization methods. It explores techniques for efficiently integrating renewable energy generation into bulk power grids. The operational challenges of wind, and its variability are carefully examined. A spatio-temporal analysis approach enables the authors to develop Markov-chain-based short-term forecasts of wind farm power generation. To deal with the wind ramp dynamics, a support vector machine enhanced Markov model is introduced. The stochastic optimization of economic dispatch (ED) and interruptible load management are investigated as well. Spatio-Temporal Data Analytics for Wind Energy Integration is valuable for researchers and professionals working towards renewable energy integration. Advanced-level students studying electrical, computer and energy engineering should also find the content useful.

Author : John A
Publisher : Springer Nature
Page : 253 pages
File Size : 55,5 Mb
Release : 2024-06-16
Category : Electronic
ISBN : 9789819996513

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Spatiotemporal Data Analytics and Modeling by John A Pdf

Author : Wei Lee Woon,Zeyar Aung,Stuart Madnick
Publisher : Springer
Page : 151 pages
File Size : 40,9 Mb
Release : 2014-11-20
Category : Computers
ISBN : 9783319132907

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Data Analytics for Renewable Energy Integration by Wei Lee Woon,Zeyar Aung,Stuart Madnick Pdf

This book constitutes revised selected papers from the second ECML PKDD Workshop on Data Analytics for Renewable Energy Integration, DARE 2014, held in Nancy, France, in September 2014. The 11 papers presented in this volume were carefully reviewed and selected for inclusion in this book.

Author : Yu Ding
Publisher : CRC Press
Page : 400 pages
File Size : 51,7 Mb
Release : 2019-06-04
Category : Business & Economics
ISBN : 9780429956515

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Data Science for Wind Energy by Yu Ding Pdf

Data Science for Wind Energy provides an in-depth discussion on how data science methods can improve decision making for wind energy applications, near-ground wind field analysis and forecast, turbine power curve fitting and performance analysis, turbine reliability assessment, and maintenance optimization for wind turbines and wind farms. A broad set of data science methods covered, including time series models, spatio-temporal analysis, kernel regression, decision trees, kNN, splines, Bayesian inference, and importance sampling. More importantly, the data science methods are described in the context of wind energy applications, with specific wind energy examples and case studies. Please also visit the author’s book site at https://aml.engr.tamu.edu/book-dswe. Features Provides an integral treatment of data science methods and wind energy applications Includes specific demonstration of particular data science methods and their use in the context of addressing wind energy needs Presents real data, case studies and computer codes from wind energy research and industrial practice Covers material based on the author's ten plus years of academic research and insights

Author : Arturo Román Messina
Publisher : CRC Press
Page : 267 pages
File Size : 55,6 Mb
Release : 2020-05-05
Category : Mathematics
ISBN : 9781000065893

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Data Fusion and Data Mining for Power System Monitoring by Arturo Román Messina Pdf

Data Fusion and Data Mining for Power System Monitoring provides a comprehensive treatment of advanced data fusion and data mining techniques for power system monitoring with focus on use of synchronized phasor networks. Relevant statistical data mining techniques are given, and efficient methods to cluster and visualize data collected from multiple sensors are discussed. Both linear and nonlinear data-driven mining and fusion techniques are reviewed, with emphasis on the analysis and visualization of massive distributed data sets. Challenges involved in realistic monitoring, visualization, and analysis of observation data from actual events are also emphasized, supported by examples of relevant applications. Features Focuses on systematic illustration of data mining and fusion in power systems Covers issues of standards used in the power industry for data mining and data analytics Applications to a wide range of power networks are provided including distribution and transmission networks Provides holistic approach to the problem of data mining and data fusion using cutting-edge methodologies and technologies Includes applications to massive spatiotemporal data from simulations and actual events

Author : M. Hadi Amini,Kianoosh G. Boroojeni,S.S. Iyengar,Panos M. Pardalos,Frede Blaabjerg,Asad M. Madni
Publisher : Springer
Page : 285 pages
File Size : 47,8 Mb
Release : 2018-02-23
Category : Technology & Engineering
ISBN : 9783319744124

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Sustainable Interdependent Networks by M. Hadi Amini,Kianoosh G. Boroojeni,S.S. Iyengar,Panos M. Pardalos,Frede Blaabjerg,Asad M. Madni Pdf

This book focuses on the theory and application of interdependent networks. The contributors consider the influential networks including power and energy networks, transportation networks, and social networks. The first part of the book provides the next generation sustainability framework as well as a comprehensive introduction of smart cities with special emphasis on energy, communication, data analytics and transportation. The second part offers solutions to performance and security challenges of developing interdependent networks in terms of networked control systems, scalable computation platforms, and dynamic social networks. The third part examines the role of electric vehicles in the future of sustainable interdependent networks. The fourth and last part of this volume addresses the promises of control and management techniques for the future power grids.

Author : Wei Lee Woon,Zeyar Aung,Oliver Kramer,Stuart Madnick
Publisher : Springer
Page : 137 pages
File Size : 44,9 Mb
Release : 2017-01-18
Category : Computers
ISBN : 9783319509471

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Data Analytics for Renewable Energy Integration by Wei Lee Woon,Zeyar Aung,Oliver Kramer,Stuart Madnick Pdf

This book constitutes revised selected papers from the 4th ECML PKDD Workshop on Data Analytics for Renewable Energy Integration, DARE 2016, held in Riva del Garda, Italy, in September 2016. The 11 papers presented in this volume were carefully reviewed and selected for inclusion in this book and handle topics such as time series forecasting, the detection of faults, cyber security, smart grid and smart cities, technology integration, demand response and many others.

Author : José Gaviria de la Puerta,Iván García Ferreira,Pablo Garcia Bringas,Fanny Klett,Ajith Abraham,André C.P.L.F. de Carvalho,Álvaro Herrero,Bruno Baruque,Héctor Quintián,Emilio Corchado
Publisher : Springer
Page : 584 pages
File Size : 43,9 Mb
Release : 2014-06-07
Category : Technology & Engineering
ISBN : 9783319079950

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International Joint Conference SOCO’14-CISIS’14-ICEUTE’14 by José Gaviria de la Puerta,Iván García Ferreira,Pablo Garcia Bringas,Fanny Klett,Ajith Abraham,André C.P.L.F. de Carvalho,Álvaro Herrero,Bruno Baruque,Héctor Quintián,Emilio Corchado Pdf

This volume of Advances in Intelligent and Soft Computing contains accepted papers presented at SOCO 2014, CISIS 2014 and ICEUTE 2014, all conferences held in the beautiful and historic city of Bilbao (Spain), in June 2014. Soft computing represents a collection or set of computational techniques in machine learning, computer science and some engineering disciplines, which investigate, simulate, and analyze very complex issues and phenomena. After a through peer-review process, the 9th SOCO 2014 International Program Committee selected 31 papers which are published in these conference proceedings. In this relevant edition a special emphasis was put on the organization of special sessions. One special session was organized related to relevant topics as: Soft Computing Methods in Manufacturing and Management Systems. The aim of the 7th CISIS 2014 conference is to offer a meeting opportunity for academic and industry-related researchers belonging to the various, vast communities of Computational Intelligence, Information Security, and Data Mining. The need for intelligent, flexible behaviour by large, complex systems, especially in mission-critical domains, is intended to be the catalyst and the aggregation stimulus for the overall event. After a through peer-review process, the CISIS 2014 International Program Committee selected 23 papers and the 5th ICEUTE 2014 International Program Committee selected 2 papers which are published in these conference proceedings as well.

Author : Vijay Vittal,Raja Ayyanar
Publisher : Springer Science & Business Media
Page : 153 pages
File Size : 44,6 Mb
Release : 2012-07-23
Category : Technology & Engineering
ISBN : 9781441993236

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Grid Integration and Dynamic Impact of Wind Energy by Vijay Vittal,Raja Ayyanar Pdf

Grid Integration and Dynamic Impact of Wind Energy details the integration of wind energy resources to the electric grid worldwide. Authors Vijay Vittal and Raja Ayyanar include detailed coverage of the power converters and control used in interfacing electric machines and power converters used in wind generators, and extensive descriptions of power systems operation and control to accommodate large penetration of wind resources. Key concepts will be illustrated through extensive power electronics and power systems simulations using software like MATLAB, Simulink and PLECS. The book addresses real world problems and solutions in the area of grid integration of wind resources, and will be a valuable resource for engineers and researchers working in renewable energy and power.

Author : Ozan Erdinc
Publisher : Butterworth-Heinemann
Page : 326 pages
File Size : 44,9 Mb
Release : 2017-02-25
Category : Technology & Engineering
ISBN : 9780081012093

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Optimization in Renewable Energy Systems by Ozan Erdinc Pdf

Optimization in Renewable Energy Systems: Recent Perspectives covers all major areas where optimization techniques have been applied to reduce uncertainty or improve results in renewable energy systems (RES). Production of power with RES is highly variable and unpredictable, leading to the need for optimization-based planning and operation in order to maximize economies while sustaining performance. This self-contained book begins with an introduction to optimization, then covers a wide range of applications in both large and small scale operations, including optimum operation of electric power systems with large penetration of RES, power forecasting, transmission system planning, and DG sizing and siting for distribution and end-user premises. This book is an excellent choice for energy engineers, researchers, system operators, system regulators, and graduate students. Provides chapters written by experts in the field Goes beyond forecasting to apply optimization techniques to a wide variety of renewable energy system issues, from large scale to relatively small scale systems Provides accompanying computer code for related chapters

Author : Youjia Liang,Lijun Liu,Jiejun Huang
Publisher : Springer Nature
Page : 182 pages
File Size : 50,5 Mb
Release : 2019-10-17
Category : Science
ISBN : 9789811391255

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Integrated Modelling of Ecosystem Services and Land-Use Change by Youjia Liang,Lijun Liu,Jiejun Huang Pdf

This book presents essential case studies on the integrated modelling of ecosystem services and land-use change in the field of landscape ecology. The case studies were mainly conducted in the Zhangye oasis of the Hexi corridor and the upper reaches of the Heihe river basin, including Loess plateau (for wind power) and the inland waterways of the Yangtze River (for the regulation of extreme events). The book puts forward an integrated modelling method, including human activities, natural processes, land-use change, and ecosystem management, and explores multiple scenarios based on the interests of local managers and their implications for ecosystem services. As the book demonstrates, the integrated modelling method for ecosystem services and land-use change can serve as a valuable tool for gauging the impact of various development scenarios in this study area, and in other regions with similar characteristics. In addition, numerous charts and diagrams are included in each chapter, facilitating the simulation and assessment of specific land-use change impacts on ecosystem services in various study areas.

Author : Josep M. Guerrero,Pankaj Gupta,Ritu Kandari,Alexander Micallef
Publisher : Elsevier
Page : 315 pages
File Size : 44,6 Mb
Release : 2024-02-21
Category : Computers
ISBN : 9780443158070

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Intelligent Learning Approaches for Renewable and Sustainable Energy by Josep M. Guerrero,Pankaj Gupta,Ritu Kandari,Alexander Micallef Pdf

Intelligent Learning Approaches for Renewable and Sustainable Energy provides a practical, systematic overview of the application of advanced intelligent control techniques, adaptive techniques, machine learning algorithms, and predictive control in renewable and sustainable energy.The book begins by introducing the intelligent learning approaches, and the roles of artificial intelligence and machine learning in terms of energy and sustainability, grid transformation, large-scale integration of renewable energy, and variability and flexibility of renewable sources. The second section of the book provides detailed coverage of intelligent learning techniques as applied to key areas of renewable and sustainable energy, including forecasting, supply and demand, integration, energy management, and optimization, supported by case studies, figures, schematics, and references.This is a useful resource for researchers, scientists, advanced students, energy engineers, R&D professionals, and other industrial personnel with an interest in sustainable energy and integration of renewable energy sources, energy systems, energy engineering, machine learning, and artificial intelligence. Explores cutting-edge intelligent techniques and their implications for future energy systems development Opens the door to a range of applications across forecasting, supply and demand, energy management, optimization, and more Includes a range of case studies that provide insights into the challenges and solutions in real-world applications

Author : M. Chen,M. Giorgetti,B. Jin
Publisher : IOS Press
Page : 1172 pages
File Size : 42,8 Mb
Release : 2023-11-14
Category : Technology & Engineering
ISBN : 9781643684390

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Advances in Machinery, Materials Science and Engineering Application IX by M. Chen,M. Giorgetti,B. Jin Pdf

New engineering materials, techniques and applications are constantly being researched and developed, and keeping up to speed with the latest advances is crucial for engineers if they are to successfully address the challenges they face in their work. This book presents the selected proceedings of MMSE2023, the 9th International Conference on Advances in Machinery, Materials Science and Engineering Applications, jointly organized by the SAE-Supmeca, France and China University of Geosciences (Wuhan) and held on 22 and 23 July 2023 in Wuhan, China. For the past 12 years, this annual conference has collated recent advances and experiences, identified emerging trends and provided a platform for participants from academia and industry to exchange information and views, helping to address the world’s machinery and engineering challenges. The book contains 4 sections: mechanical engineering, material science and manufacturing technology; electrical engineering, automation and control; modeling, simulation and optimization techniques in engineering; and advanced engineering technologies and applications. A total of 241 submissions were received for MMSE2023, of which 151 papers were selected for the conference and for publication by means of a rigorous international peer-review process. These papers present exciting ideas and methods that will open novel research directions for different communities. Offering a current overview of the latest research and applications in machinery and materials-science engineering, the book will be of interest to all those working in the field.

Author : Justin S. Baker,George L. Van Houtven,Fekadu Moreda,Jennifer Hoponick Redmon,Yongxia Cai,Christopher Wade,Andrew "AJ" Kondash,Candise Henry
Publisher : RTI Press
Page : 40 pages
File Size : 52,9 Mb
Release : 2021-05-27
Category : Science
ISBN : 8210379456XXX

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A hydro-economic methodology for the food-energy-water nexus by Justin S. Baker,George L. Van Houtven,Fekadu Moreda,Jennifer Hoponick Redmon,Yongxia Cai,Christopher Wade,Andrew "AJ" Kondash,Candise Henry Pdf

Growing global water stress caused by the combined effects of growing populations, increasing economic development, and climate change elevates the importance of managing and allocating water resources in ways that are economically efficient and that account for interdependencies between food production, energy generation, and water networks—often referred to as the “food-energy-water (FEW) nexus.” To support these objectives, this report outlines a replicable hydro-economic methodology for assessing the value of water resources in alternative uses across the FEW nexus–including for agriculture, energy production, and human consumption—and maximizing the benefits of these resources through optimization analysis. The report’s goal is to define the core elements of an integrated systems-based modeling approach that is generalizable, flexible, and geographically portable for a range of FEW nexus applications. The report includes a detailed conceptual framework for assessing the economic value of water across the FEW nexus and a modeling framework that explicitly represents the connections and feedbacks between hydrologic systems (e.g., river and stream networks) and economic systems (e.g., food and energy production). The modeling components are described with examples from existing studies and applications. The report concludes with a discussion of current limitations and potential extensions of the hydro-economic methodology.

Author : Marios Polycarpou,André C.P.L.F. de Carvalho,Jeng-Shyang Pan,Michał Woźniak,Héctor Quintián,Emilio Corchado
Publisher : Springer
Page : 710 pages
File Size : 42,8 Mb
Release : 2014-05-21
Category : Computers
ISBN : 9783319076171

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Hybrid Artificial Intelligence Systems by Marios Polycarpou,André C.P.L.F. de Carvalho,Jeng-Shyang Pan,Michał Woźniak,Héctor Quintián,Emilio Corchado Pdf

This volume constitutes the proceedings of the 9th International Conference on Hybrid Artificial Intelligent Systems, HAIS 2014, held in Salamanca, Spain, in June 2014. The 61 papers published in this volume were carefully reviewed and selected from 199 submissions. They are organized in topical sessions on HAIS applications; data mining and knowledge discovery; video and image analysis; bio-inspired models and evolutionary computation; learning algorithms; hybrid intelligent systems for data mining and applications and classification and cluster analysis.