4 citations · 6 across the 6 of their papers we have counts for
9 papers · 1 filter
Monetizing Customer Load Data for an Energy Retailer: A Cooperative Game Approach
Liyang Han, Jalal Kazempour, Pierre Pinson
When energy customers schedule loads ahead of time, this information, if acquired by their energy retailer, can improve the retailer's load forecasts. Better forecasts lead to whol…
Stochastic Control and Pricing for Natural Gas Networks
Vladimir Dvorkin, Anubhav Ratha, Pierre Pinson +1
We propose stochastic control policies to cope with uncertain and variable gas extractions in natural gas networks. Given historical gas extraction data, these policies are optimiz…
Chance-Constrained Equilibrium in Electricity Markets With Asymmetric Forecasts
Vladimir Dvorkin, Jalal Kazempour, Pierre Pinson
We develop a stochastic equilibrium model for an electricity market with asymmetric renewable energy forecasts. In our setting, market participants optimize their profits using pub…
Differentially Private Optimal Power Flow for Distribution Grids
Vladimir Dvorkin, Ferdinando Fioretto, Pascal Van Hentenryck +2
Although distribution grid customers are obliged to share their consumption data with distribution system operators (DSOs), a possible leakage of this data is often disregarded in…
Loss Allocation in Joint Transmission and Distribution Peer-to-Peer Markets
Fabio Moret, Andrea Tosatto, Thomas Baroche +1
Large deployment of distribute energy resources and the increasing awareness of end-users towards their energy procurement are challenging current practices of electricity markets.…
Differentially Private Distributed Optimal Power Flow
Vladimir Dvorkin, Pascal Van Hentenryck, Jalal Kazempour +1
Distributed algorithms enable private Optimal Power Flow (OPF) computations by avoiding the need in sharing sensitive information localized in algorithms sub-problems. However, adv…