Data Science For Wind Energy

Author : Yu Ding
Publisher : CRC Press
Page : 400 pages
File Size : 54,5 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 : Lei Yang,Miao He,Junshan Zhang,Vijay Vittal
Publisher : Springer
Page : 80 pages
File Size : 46,5 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 : Yuichi Ikeda
Publisher : Springer Nature
Page : 325 pages
File Size : 54,5 Mb
Release : 2024-06-01
Category : Electronic
ISBN : 9789819987795

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Data Science of Renewable Energy Integration by Yuichi Ikeda Pdf

Author : David Rivkin,Laurel Silk,Marc Randall
Publisher : Jones & Bartlett Publishers
Page : 182 pages
File Size : 47,8 Mb
Release : 2011-11
Category : Education
ISBN : 9781449624507

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Wind Power Generation and Distribution by David Rivkin,Laurel Silk,Marc Randall Pdf

Provides readers with information on electric motors and the installation and maintenance of wind turbines. Topics include energy conversion, power electronics, converters, generators, wind-turbine control, rotor dynamics, and wind farms.

Author : Wei Lee Woon,Zeyar Aung,Stuart Madnick
Publisher : Springer
Page : 151 pages
File Size : 54,5 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 : Wei Lee Woon,Zeyar Aung,Oliver Kramer,Stuart Madnick
Publisher : Springer
Page : 142 pages
File Size : 46,7 Mb
Release : 2017-11-24
Category : Computers
ISBN : 9783319716435

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Data Analytics for Renewable Energy Integration: Informing the Generation and Distribution of Renewable Energy by Wei Lee Woon,Zeyar Aung,Oliver Kramer,Stuart Madnick Pdf

This book constitutes revised selected papers from the 5th ECML PKDD Workshop on Data Analytics for Renewable Energy Integration, DARE 2017, held in Skopje, Macedonia, in September 2017. 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 : James F. Manwell,Jon G. McGowan,Anthony L. Rogers
Publisher : Wiley-Blackwell
Page : 600 pages
File Size : 42,7 Mb
Release : 2002-06-21
Category : Technology & Engineering
ISBN : UOM:39076002347255

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Wind Energy Explained by James F. Manwell,Jon G. McGowan,Anthony L. Rogers Pdf

This textbook is intended to provide an introduction to the cross-disciplinary field of wind engineering. It includes end-of-chapter tutorial sections (solutions manual available) and combines both academic and industrial experience.

Author : Wei Lee Woon,Zeyar Aung,Oliver Kramer,Stuart Madnick
Publisher : Springer
Page : 137 pages
File Size : 46,5 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 : Nathan Gaw
Publisher : Springer Nature
Page : 388 pages
File Size : 53,5 Mb
Release : 2024-06-01
Category : Electronic
ISBN : 9783031530920

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Multimodal and Tensor Data Analytics for Industrial Systems Improvement by Nathan Gaw Pdf

Author : Wei Lee Woon,Zeyar Aung,Alejandro Catalina Feliú,Stuart Madnick
Publisher : Springer
Page : 167 pages
File Size : 49,9 Mb
Release : 2018-11-16
Category : Computers
ISBN : 9783030043032

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Data Analytics for Renewable Energy Integration. Technologies, Systems and Society by Wei Lee Woon,Zeyar Aung,Alejandro Catalina Feliú,Stuart Madnick Pdf

This book constitutes the revised selected papers from the 6th ECML PKDD Workshop on Data Analytics for Renewable Energy Integration, DARE 2018, held in Dublin, Ireland, in September 2018. The 9 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 : Mathew Sathyajith
Publisher : Springer Science & Business Media
Page : 253 pages
File Size : 44,9 Mb
Release : 2006-03-14
Category : Technology & Engineering
ISBN : 9783540309062

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Wind Energy by Mathew Sathyajith Pdf

Growing energy demand and environmental consciousness have re-evoked human interest in wind energy. As a result, wind is the fastest growing energy source in the world today. Policy frame works and action plans have already been for- lated at various corners for meeting at least 20 per cent of the global energy - mand with new-renewables by 2010, among which wind is going to be the major player. In view of the rapid growth of wind industry, Universities, all around the world, have given due emphasis to wind energy technology in their undergraduate and graduate curriculum. These academic programmes attract students from diver- fied backgrounds, ranging from social science to engineering and technology. Fundamentals of wind energy conversion, which is discussed in the preliminary chapters of this book, have these students as the target group. Advanced resource analysis tools derived and applied are beneficial to academics and researchers working in this area. The Wind Energy Resource Analysis (WERA) software, provided with the book, is an effective tool for wind energy practitioners for - sessing the energy potential and simulating turbine performance at prospective sites.

Author : Patrick Bangert
Publisher : Elsevier
Page : 276 pages
File Size : 48,6 Mb
Release : 2021-01-14
Category : Technology & Engineering
ISBN : 9780128226001

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Machine Learning and Data Science in the Power Generation Industry by Patrick Bangert Pdf

Machine Learning and Data Science in the Power Generation Industry explores current best practices and quantifies the value-add in developing data-oriented computational programs in the power industry, with a particular focus on thoughtfully chosen real-world case studies. It provides a set of realistic pathways for organizations seeking to develop machine learning methods, with a discussion on data selection and curation as well as organizational implementation in terms of staffing and continuing operationalization. It articulates a body of case study–driven best practices, including renewable energy sources, the smart grid, and the finances around spot markets, and forecasting. Provides best practices on how to design and set up ML projects in power systems, including all nontechnological aspects necessary to be successful Explores implementation pathways, explaining key ML algorithms and approaches as well as the choices that must be made, how to make them, what outcomes may be expected, and how the data must be prepared for them Determines the specific data needs for the collection, processing, and operationalization of data within machine learning algorithms for power systems Accompanied by numerous supporting real-world case studies, providing practical evidence of both best practices and potential pitfalls

Author : M. Dhurgadevi
Publisher : Unknown
Page : 0 pages
File Size : 52,6 Mb
Release : 2022-11-10
Category : Electronic
ISBN : 9798886972320

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The Future of Wind Energy by M. Dhurgadevi Pdf

This book provides fundamental concepts of wind energy systems and discusses the design issues for the future as well as the challenges in wind energy research. The future of wind energy relies on Artificial Intelligence, Cloud Computing, IoT, Block chain and big data analytics for wind energy generation and monitoring.

Author : Thouraya Bouabana-Tebibel,Lydia Bouzar-Benlabiod,Stuart H. Rubin
Publisher : Springer
Page : 189 pages
File Size : 41,7 Mb
Release : 2019-05-07
Category : Technology & Engineering
ISBN : 9783319980560

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Theory and Application of Reuse, Integration, and Data Science by Thouraya Bouabana-Tebibel,Lydia Bouzar-Benlabiod,Stuart H. Rubin Pdf

This book presents recent research in the field of reuse and integration, and will help researchers and practitioners alike to understand how they can implement reuse in different stages of software development and in various domains, from robotics and security authentication to environmental issues. Indeed, reuse is not only confined to reusing code; it can be included in every software development step. The challenge today is more about adapting solutions from one language to another, or from one domain to another. The relative validation of the reused artifacts in their new environment is also necessary, at time even critical. The book includes high-quality research papers on these and many other aspects, written by experts in information reuse and integration, who cover the latest advances in the field. Their contributions are extended versions of the best papers presented at the IEEE International Conference on Information Reuse and Integration (IRI) and IEEE International Workshop on Formal Methods Integration (FMI), which were held in San Diego in August 2017.

Author : Regina Bispo,Lígia Henriques-Rodrigues,Russell Alpizar-Jara,Miguel de Carvalho
Publisher : Springer Nature
Page : 364 pages
File Size : 51,9 Mb
Release : 2022-11-28
Category : Mathematics
ISBN : 9783031127663

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Recent Developments in Statistics and Data Science by Regina Bispo,Lígia Henriques-Rodrigues,Russell Alpizar-Jara,Miguel de Carvalho Pdf

This volume presents a collection of twenty-five peer-reviewed articles carefully selected from the contributions presented at the XXV Congress of the Portuguese Statistical Society (2021). Containing state-of-the-art developments in theoretical and applied statistics, the book will be accessible to readers with a background in mathematics and statistics, but will also be of interest to researchers from other scientific disciplines (e.g., biology, economics, medicine), who will find a broad range of relevant applications.