Data science for wind energy. (2019)
- Record Type:
- Book
- Title:
- Data science for wind energy. (2019)
- Main Title:
- Data science for wind energy
- Further Information:
- Note: Yu Ding.
- Authors:
- Ding, Yu
- Contents:
- Chapter 1 Introduction Part I Wind Field Analysis Chapter 2 A Single Time Series Model Chapter 3 Spatiotemporal Chapter 4 Regimeswitching Part II Wind Turbine Performance Analysis Chapter 5 Power Curve Modeling and Analysis Chapter 6 Production Efficiency Analysis Chapter 7 Quantification of Turbine Upgrade Chapter 8 Wake Effect Analysis Chapter 9 Overview of Turbine Maintenance Optimization Chapter 10 Extreme Load Analysis Chapter 11 Computer Simulator Based Load Analysis Chapter 12 Anomaly Detection and Fault Diagnosis
- Edition:
- 1st
- Publisher Details:
- Boca Raton : Chapman & Hall/CRC
- Publication Date:
- 2019
- Extent:
- 1 online resource, illustrations (black and white)
- Subjects:
- 621.45
Wind power -- Mathematical models
Wind power -- Data processing - Languages:
- English
- ISBNs:
- 9780429956508
9780429956515
9780429956492
9780429490972 - Related ISBNs:
- 9781138590526
- Notes:
- Note: Includes bibliographical references.
Note: Description based on CIP data; resource not viewed. - Access Rights:
- Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
- Access Usage:
- Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library HMNTS - ELD.DS.448504
- Ingest File:
- 03_022.xml