Closing the Loop: A Framework for Trustworthy Machine Learning in Power Systems

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

Original language	English
Title of host publication	Proceedings of 11th Bulk Power Systems Dynamics and Control Symposium (IREP 2022)
DOIs	https://doi.org/10.48550/arXiv.2203.07505
Publication status	Published - 2022
Externally published	Yes

Access to Document

@inproceedings{5541271971f14cbfb4ac4f566eba51ec,

title = "Closing the Loop: A Framework for Trustworthy Machine Learning in Power Systems",

author = "J.B. Stiasny and Samuel Chevalier and Rahul Nellikkath and Brynjar S{\ae}varsson and Spyros Chatzivasileiadis",

year = "2022",

doi = "10.48550/arXiv.2203.07505",

language = "English",

booktitle = "Proceedings of 11th Bulk Power Systems Dynamics and Control Symposium (IREP 2022)",

}

TY - GEN

T1 - Closing the Loop: A Framework for Trustworthy Machine Learning in Power Systems

AU - Stiasny, J.B.

AU - Chevalier, Samuel

AU - Nellikkath, Rahul

AU - Sævarsson, Brynjar

AU - Chatzivasileiadis, Spyros

PY - 2022

Y1 - 2022

U2 - 10.48550/arXiv.2203.07505

DO - 10.48550/arXiv.2203.07505

M3 - Conference contribution

BT - Proceedings of 11th Bulk Power Systems Dynamics and Control Symposium (IREP 2022)

ER -