Zobrazeno 1 - 10
of 21
pro vyhledávání: '"Ramin Moslemi"'
Publikováno v:
IET Generation, Transmission & Distribution, Vol 15, Iss 16, Pp 2298-2308 (2021)
Abstract The negative impacts of data integrity attacks against multi‐settlement electricity markets have been recently studied. It has been shown that adversaries could launch profitable cyber attacks by casting an incorrect image of transmission
Externí odkaz:
https://doaj.org/article/45f76e5a136e44b4aaa503c7ea2b3c78
Autor:
Chang Liu, Xiang Yu, Yi-Hsuan Tsai, Masoud Faraki, Ramin Moslemi, Manmohan Chandraker, Yun Fu
Publikováno v:
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
Publikováno v:
CVPR
Trajectory prediction is a safety-critical tool for autonomous vehicles to plan and execute actions. Our work addresses two key challenges in trajectory prediction, learning multimodal outputs, and better predictions by imposing constraints using dri
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::69c26d1f49ee11e18119f8cd59eeeb14
Publikováno v:
SmartGridComm
Statistical structure learning (SSL)-based approaches have been employed in the recent years to detect different types of anomalies in a variety of cyber-physical systems (CPS). Although these approaches outperform conventional methods in the literat
Many residential energy consumers have installed photovoltaic (PV) panels and energy storage systems. These residential users can aggregate and participate in the energy markets. A stochastic decision making model for an aggregation of these resident
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d9d184f27f21bfa6fe70ed78cea45efe
http://arxiv.org/abs/2002.08720
http://arxiv.org/abs/2002.08720
Publikováno v:
ISGT
In this paper, a fog (edge) computing-based platform is proposed to realize distributed (localized) anomaly detection of data integrity attacks in smart grid applications aiming at addressing security and data privacy issues. To detect false data inj
Publikováno v:
IEEE Transactions on Smart Grid. 9:4930-4941
Recent studies have shown that an attacker can compromise some of the power grid measurements to mislead the conventional state estimators (SEs), since the manipulated measurements can pass the SE residue tests. Statistical structure learning-based a
Publikováno v:
IET Generation, Transmission & Distribution. 12:1263-1270
The potential impacts of data integrity attacks on multi-settlement electricity markets have been recently investigated and have sent a strong message to power grids independent system operators (ISOs) that adversaries could launch profitable cyber a
Publikováno v:
2019 IEEE 7th International Conference on Smart Energy Grid Engineering (SEGE).
The behind the meter battery energy storage systems (BTM-BESSs) have been deployed widely by indus-trial/commercial buildings to manage electricity transaction with utilities in order to reduce customers' electricity bills. Commercial BTM battery sto
Publikováno v:
IET Generation, Transmission & Distribution.