activity
20182023
most citedCoordinating Distributed Energy Resources for Reliability can Significantly Reduce Future Distribution Grid Upgrades and Peak Load

45 citations · 63 across the 6 of their papers we have counts for

collaborators

7 papers

eess.SY2023

Coordination of DERs for Grid Reliability via Day-ahead Demand-Supply Power Bounds

Thomas Navidi, Abbas El Gamal, Ram Rajagopal

A previous study has shown that coordinating DERs to protect the distribution grid can significantly reduce the infrastructure upgrades needed to address future increases in DER an…

eess.SY2023★ 45 cited

Coordinating Distributed Energy Resources for Reliability can Significantly Reduce Future Distribution Grid Upgrades and Peak Load

Thomas Navidi, Abbas El Gamal, Ram Rajagopal

Current DER coordination schemes, such as demand-response and VPPs, aim to reduce electricity costs during peak demand events with no consideration of distribution grid reliability…

eess.SP2020★ 2 cited

Generating private data with user customization

Xiao Chen, Thomas Navidi, Ram Rajagopal

Personal devices such as mobile phones can produce and store large amounts of data that can enhance machine learning models; however, this data may contain private information spec…

eess.SY2020

DER Information Unaware Coordination via Day-ahead Dynamic Power Bounds

Thomas Navidi, Chloe Leblanc, Abbas El Gamal +1

Reliability and voltage quality in distribution networks have been achieved via a combination of transformer power rating satisfaction and voltage management asset control. To main…

eess.SY2019★ 3 cited

Energy Resource Control via Privacy Preserving Data

Xiao Chen, Thomas Navidi, Ram Rajagopal

Although the frequent monitoring of smart meters enables granular control over energy resources, it also increases the risk of leakage of private information such as income, home o…

cs.LG2019★ 4 cited

Distributed generation of privacy preserving data with user customization

Xiao Chen, Thomas Navidi, Stefano Ermon +1

Distributed devices such as mobile phones can produce and store large amounts of data that can enhance machine learning models; however, this data may contain private information s…