%0 Conference Paper %1 conf/iecon/TianDZYJW20 %A Tian, Meng %A Dong, Zhengcheng %A Zhao, Le %A Yao, Hongtai %A Jian, Zini %A Wang, Xianpei %B IECON %D 2020 %I IEEE %K dblp %P 3359-3364 %T Computation of Worst-case Operation Scenarios against False Data Injection Attacks Considering Load Demand and Generation Uncertainties. %U http://dblp.uni-trier.de/db/conf/iecon/iecon2020.html#TianDZYJW20 %@ 978-1-7281-5414-5

@inproceedings{conf/iecon/TianDZYJW20, added-at = {2020-11-23T00:00:00.000+0100}, author = {Tian, Meng and Dong, Zhengcheng and Zhao, Le and Yao, Hongtai and Jian, Zini and Wang, Xianpei}, biburl = {https://www.bibsonomy.org/bibtex/2fd0b1a569c754f9f849a8fc99dc7814b/dblp}, booktitle = {IECON}, crossref = {conf/iecon/2020}, ee = {https://doi.org/10.1109/IECON43393.2020.9255105}, interhash = {6f30b37491bf585a3ecd4a4ce37804d7}, intrahash = {fd0b1a569c754f9f849a8fc99dc7814b}, isbn = {978-1-7281-5414-5}, keywords = {dblp}, pages = {3359-3364}, publisher = {IEEE}, timestamp = {2020-11-24T11:36:57.000+0100}, title = {Computation of Worst-case Operation Scenarios against False Data Injection Attacks Considering Load Demand and Generation Uncertainties.}, url = {http://dblp.uni-trier.de/db/conf/iecon/iecon2020.html#TianDZYJW20}, year = 2020 }