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Data Science for Wind Energy

Data Science for Wind Energy
Author: Yu Ding
Publisher: CRC Press
Total Pages: 400
Release: 2019-06-04
Genre: Business & Economics
ISBN: 0429956517

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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


Spatio-Temporal Data Analytics for Wind Energy Integration

Spatio-Temporal Data Analytics for Wind Energy Integration
Author: Lei Yang
Publisher: Springer
Total Pages: 80
Release: 2014-11-14
Genre: Technology & Engineering
ISBN: 331912319X

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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.


Wind Energy

Wind Energy
Author: Mathew Sathyajith
Publisher: Springer Science & Business Media
Total Pages: 253
Release: 2006-03-14
Genre: Technology & Engineering
ISBN: 3540309063

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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.


Data Analytics for Renewable Energy Integration

Data Analytics for Renewable Energy Integration
Author: Wei Lee Woon
Publisher: Springer
Total Pages: 159
Release: 2014-11-20
Genre: Computers
ISBN: 3319132903

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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.


Data Analytics for Renewable Energy Integration: Informing the Generation and Distribution of Renewable Energy

Data Analytics for Renewable Energy Integration: Informing the Generation and Distribution of Renewable Energy
Author: Wei Lee Woon
Publisher: Springer
Total Pages: 142
Release: 2017-11-24
Genre: Computers
ISBN: 3319716433

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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.


Wind Energy Explained

Wind Energy Explained
Author: James F. Manwell
Publisher: John Wiley & Sons
Total Pages: 704
Release: 2010-09-14
Genre: Technology & Engineering
ISBN: 9780470686287

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Wind energy’s bestselling textbook- fully revised. This must-have second edition includes up-to-date data, diagrams, illustrations and thorough new material on: the fundamentals of wind turbine aerodynamics; wind turbine testing and modelling; wind turbine design standards; offshore wind energy; special purpose applications, such as energy storage and fuel production. Fifty additional homework problems and a new appendix on data processing make this comprehensive edition perfect for engineering students. This book offers a complete examination of one of the most promising sources of renewable energy and is a great introduction to this cross-disciplinary field for practising engineers. “provides a wealth of information and is an excellent reference book for people interested in the subject of wind energy.” (IEEE Power & Energy Magazine, November/December 2003) “deserves a place in the library of every university and college where renewable energy is taught.” (The International Journal of Electrical Engineering Education, Vol.41, No.2 April 2004) “a very comprehensive and well-organized treatment of the current status of wind power.” (Choice, Vol. 40, No. 4, December 2002)


Frontiers of Engineering

Frontiers of Engineering
Author: National Academy of Engineering
Publisher: National Academies Press
Total Pages: 141
Release: 2018-02-22
Genre: Technology & Engineering
ISBN: 0309466016

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This volume presents papers on the topics covered at the National Academy of Engineering's 2017 US Frontiers of Engineering Symposium. Every year the symposium brings together 100 outstanding young leaders in engineering to share their cutting-edge research and innovations in selected areas. The 2017 symposium was held September 25-27 at the United Technologies Research Center in East Hartford, Connecticut. The intent of this book is to convey the excitement of this unique meeting and to highlight innovative developments in engineering research and technical work.


Data Analytics for Renewable Energy Integration. Technologies, Systems and Society

Data Analytics for Renewable Energy Integration. Technologies, Systems and Society
Author: Wei Lee Woon
Publisher: Springer
Total Pages: 167
Release: 2018-11-16
Genre: Computers
ISBN: 3030043037

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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.