A Stochastic Online Forecast-and-Optimize Framework for Real-Time Energy Dispatch in Virtual Power Plants under Uncertainty.
Wei Jiang|Zhongkai Yi|Li Wang|Hanwei Zhang|Jihai Zhang|Fangquan Lin|Cheng Yang
| Anthology ID: | DBLP:conf/cikm/JiangYWZZLY23 |
|---|---|
| Volume: | Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, CIKM 2023, Birmingham, United Kingdom, October 21-25, 2023 |
| Year: | 2023 |
| Venue: | International Conference on Information and Knowledge Management (CIKM) |
| Publisher: | ACM |
| Pages: | 4646-4652 |
| URL: | https://doi.org/10.1145/3583780.3614653 |
| DOI: | https://doi.org/10.1145/3583780.3614653 |
| DBLP: | conf/cikm/JiangYWZZLY23 |
| BibTeX: |
@inproceedings{jiang-2023-stochastic,
author = {Wei Jiang and
Zhongkai Yi and
Li Wang and
Hanwei Zhang and
Jihai Zhang and
Fangquan Lin and
Cheng Yang},
editor = {Ingo Frommholz and
Frank Hopfgartner and
Mark Lee and
Michael P. Oakes and
Mounia Lalmas-Roelleke and
Min Zhang and
Rodrygo L. T. Santos},
title = {{A Stochastic Online Forecast-and-Optimize Framework for Real-Time Energy Dispatch in Virtual Power Plants under Uncertainty}},
booktitle = {{Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, CIKM 2023, Birmingham, United Kingdom, October 21-25, 2023}},
pages = {4646--4652},
publisher = {ACM},
year = {2023},
url = {https://doi.org/10.1145/3583780.3614653},
doi = {https://doi.org/10.1145/3583780.3614653}
}