15 citations · 20 across the 3 of their papers we have counts for
3 papers
cs.LG2024★ 15 cited
Privacy-Preserving Distributed Learning for Residential Short-Term Load Forecasting
Yi Dong, Yingjie Wang, Mariana Gama +3
In the realm of power systems, the increasing involvement of residential users in load forecasting applications has heightened concerns about data privacy. Specifically, the load d…
cs.CR2023★ 5 cited
Zone-Based Privacy-Preserving Billing for Local Energy Market Based on Multiparty Computation
Eman Alqahtani, Mustafa A. Mustafa
This paper proposes a zone-based privacy-preserving billing protocol for local energy markets that takes into account energy volume deviations of market participants from their bid…
cs.CR2023
Privacy Preserving Billing in Local Energy Markets with Imperfect Bid-Offer Fulfillment (Long Version)
Andrei Hutu, Mustafa A. Mustafa
Smart grids are being increasingly deployed worldwide, as they constitute the electricity grid of the future, providing bidirectional communication between households. One of their…