Data science for wind energy / / Yu Ding.
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 optim...
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| Place / Publishing House: | Boca Raton : : CRC Press,, [2020] |
| Year of Publication: | 2020 |
| Edition: | 1st ed. |
| Language: | English |
| Physical Description: | 1 online resource (425 pages) |
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Electronic
| DOAB Directory of Open Access Books | Available |