Research output per year
Research output per year
Description
Code and data associated with the linked publication. R code to implement the proposed methodology and benchmarks is provided, along with results and input data. Code and data is available under the CC-BY licence. Wind speed observations from the MIDAS dataset may only be shared with bona fide researchers who demonstrate that they have appropriate registration and licence agreement with the British Atmospheric Data Center. Atmospheric classification is based on MERRA-2 reanalysis data.
| Date made available | 19 May 2017 |
|---|---|
| Publisher | University of Strathclyde |
| Temporal coverage | 1 Jan 2002 - 31 Dec 2007 |
| Date of data production | 18 May 2017 |
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Improved very short‐term spatio‐temporal wind forecasting using atmospheric regimes
Browell, J., Drew, D. R. & Philippopoulos, K., 27 Jun 2019.Research output: Contribution to conference › Presentation/Speech › peer-review
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Improved very-short-term wind forecasting using atmospheric regimes
Browell, J., Drew, D. R. & Philippopoulos, K., 25 May 2018, (E-pub ahead of print) In: Wind Energy. 12 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile37 Citations (Scopus)64 Downloads (Pure)
Projects
- 1 Finished
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Doctoral Training Partnership (DTP - University of Strathclyde)
McFarlane, A. (Principal Investigator)
EPSRC (Engineering and Physical Sciences Research Council)
1/10/15 → 30/09/19
Project: Research - Studentship