Chunyang Lai chunyang.lai@durham.ac.uk
Demonstrator (Ptt)
A novel data-driven tighten-constraint method for wind-hydro hybrid power system to improve day-ahead plan performance in real-time operation
Lai, Chunyang; Kazemtabrizi, Behzad
Authors
Dr Behzad Kazemtabrizi behzad.kazemtabrizi@durham.ac.uk
Associate Professor
Citation
Lai, C., & Kazemtabrizi, B. (2024). A novel data-driven tighten-constraint method for wind-hydro hybrid power system to improve day-ahead plan performance in real-time operation. Applied Energy, 371, Article 123616. https://doi.org/10.1016/j.apenergy.2024.123616
| Journal Article Type | Article |
|---|---|
| Acceptance Date | May 31, 2024 |
| Online Publication Date | Jun 14, 2024 |
| Publication Date | Oct 1, 2024 |
| Deposit Date | Jun 6, 2024 |
| Publicly Available Date | Jun 27, 2024 |
| Journal | Applied Energy |
| Print ISSN | 0306-2619 |
| Electronic ISSN | 1872-9118 |
| Publisher | Elsevier |
| Peer Reviewed | Peer Reviewed |
| Volume | 371 |
| Article Number | 123616 |
| DOI | https://doi.org/10.1016/j.apenergy.2024.123616 |
| Public URL | https://durham-repository.worktribe.com/output/2474794 |
This output contributes to the following UN Sustainable Development Goals:
Ensure access to affordable, reliable, sustainable and modern energy for all
Files
Accepted Journal Article
(7.1 Mb)
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