Data Science For Wind Energy PDF Download
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Author | : Yu Ding |
Publisher | : CRC Press |
Total Pages | : 400 |
Release | : 2019-06-04 |
Genre | : Business & Economics |
ISBN | : 0429956517 |
Download Data Science for Wind Energy Book in PDF, ePub and Kindle
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 |
Publisher | : Springer |
Total Pages | : 86 |
Release | : 2014-11-14 |
Genre | : Technology & Engineering |
ISBN | : 331912319X |
Download Spatio-Temporal Data Analytics for Wind Energy Integration Book in PDF, ePub and Kindle
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 |
Total Pages | : 325 |
Release | : |
Genre | : |
ISBN | : 9819987792 |
Download Data Science of Renewable Energy Integration Book in PDF, ePub and Kindle
Author | : Mathew Sathyajith |
Publisher | : Springer Science & Business Media |
Total Pages | : 253 |
Release | : 2006-03-14 |
Genre | : Technology & Engineering |
ISBN | : 3540309063 |
Download Wind Energy Book in PDF, ePub and Kindle
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 | : Matthew Lennie |
Publisher | : |
Total Pages | : |
Release | : 2020 |
Genre | : |
ISBN | : |
Download Engineering Methods and Data Science for Wind Energy Book in PDF, ePub and Kindle
Author | : James F. Manwell |
Publisher | : John Wiley & Sons |
Total Pages | : 704 |
Release | : 2010-09-14 |
Genre | : Technology & Engineering |
ISBN | : 9780470686287 |
Download Wind Energy Explained Book in PDF, ePub and Kindle
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)
Author | : Wei Lee Woon |
Publisher | : Springer |
Total Pages | : 142 |
Release | : 2017-11-24 |
Genre | : Computers |
ISBN | : 3319716433 |
Download Data Analytics for Renewable Energy Integration: Informing the Generation and Distribution of Renewable Energy Book in PDF, ePub and Kindle
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 | : J. F. Manwell |
Publisher | : Wiley-Blackwell |
Total Pages | : 600 |
Release | : 2002-06-21 |
Genre | : Technology & Engineering |
ISBN | : |
Download Wind Energy Explained Book in PDF, ePub and Kindle
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 | : National Academy of Engineering |
Publisher | : National Academies Press |
Total Pages | : 141 |
Release | : 2018-02-22 |
Genre | : Technology & Engineering |
ISBN | : 0309466016 |
Download Frontiers of Engineering Book in PDF, ePub and Kindle
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.
Author | : Wei Lee Woon |
Publisher | : Springer |
Total Pages | : 144 |
Release | : 2017-01-18 |
Genre | : Computers |
ISBN | : 3319509470 |
Download Data Analytics for Renewable Energy Integration Book in PDF, ePub and Kindle
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.