Author:
Publisher:
ISBN:
Category : Wind power
Languages : en
Pages : 122
Book Description
Wind Project Performance ... Summary
Wind Performance Report Summary
Results from the Wind Project Performance Reporting System ... Annual Report
Data Science for Wind Energy
Author: Yu Ding
Publisher: CRC Press
ISBN: 9780367729097
Category : Business & Economics
Languages : en
Pages : 0
Book Description
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
Publisher: CRC Press
ISBN: 9780367729097
Category : Business & Economics
Languages : en
Pages : 0
Book Description
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
Results from the Wind Project Performance Reporting System
Project Performance Report 1998
Author:
Publisher: GEF Evaluation Office
ISBN:
Category :
Languages : en
Pages : 97
Book Description
Publisher: GEF Evaluation Office
ISBN:
Category :
Languages : en
Pages : 97
Book Description
Project Performance Report 2002
Author:
Publisher: GEF Evaluation Office
ISBN:
Category :
Languages : en
Pages : 120
Book Description
Publisher: GEF Evaluation Office
ISBN:
Category :
Languages : en
Pages : 120
Book Description
Project Performance Report 2000
Author:
Publisher: GEF Evaluation Office
ISBN:
Category :
Languages : en
Pages : 104
Book Description
Publisher: GEF Evaluation Office
ISBN:
Category :
Languages : en
Pages : 104
Book Description
Project Performance Report 2001
Author:
Publisher: GEF Evaluation Office
ISBN:
Category :
Languages : en
Pages : 110
Book Description
Publisher: GEF Evaluation Office
ISBN:
Category :
Languages : en
Pages : 110
Book Description
Wind Energy Explained
Author: James F. Manwell
Publisher: John Wiley & Sons
ISBN: 9780470686287
Category : Technology & Engineering
Languages : en
Pages : 704
Book Description
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)
Publisher: John Wiley & Sons
ISBN: 9780470686287
Category : Technology & Engineering
Languages : en
Pages : 704
Book Description
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)