6 citations · 10 across the 3 of their papers we have counts for
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cs.GT2024★ 6 cited
PP-LEM: Efficient and Privacy-Preserving Clearance Mechanism for Local Energy Markets
Kamil Erdayandi, Mustafa Asan Mustafa
In this paper, we propose a novel Privacy-Preserving clearance mechanism for Local Energy Markets (PP-LEM), designed for computational efficiency and social welfare. PP-LEM incorpo…
cs.GT2022★ 1 cited
Privacy-Friendly Peer-to-Peer Energy Trading: A Game Theoretical Approach
Kamil Erdayandi, Amrit Paudel, Lucas Cordeiro +1
In this paper, we propose a decentralized, privacy-friendly energy trading platform (PFET) based on game theoretical approach - specifically Stackelberg competition. Unlike existin…