Data Science for Wind Energy
Overview & Synopsis
This book 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.
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Document Information
| Document Title | Data Science for Wind Energy |
|---|---|
| Author / Organization | Yu Ding |
| Subject & Discipline | Data Science and Data Engineering, Data Analysis and Data Mining, Big Data, Statistics, Mathematical Statistics, and SAS Programming |
| Categories | Data Science and Data Engineering |
| Publication Year | 2020 |
| ISBN | 978-0367729097 |
| License / Rights | Creative Commons License (CC) |
| Resource Verification | Verification pending |
| Original Host Website |
FreeComputerBooks.com
(freecomputerbooks.com)
|
| File Format | application/pdf (Portable Document Format) |
| Language | ENGLISH |
| Catalog ID | DOC-91302 |
| Original Source Link | Visit Source Page on freecomputerbooks.com » |
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