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} }