61 citations · 166 across the 10 of their papers we have counts for
4 papers · 1 filter
Privacy-Preserving Obfuscation for Distributed Power Systems
Terrence W. K. Mak, Ferdinando Fioretto, Pascal Van Hentenryck
This paper considers the problem of releasing privacy-preserving load data of a decentralized operated power system. The paper focuses on data used to solve Optimal Power Flow (OPF…
Predicting AC Optimal Power Flows: Combining Deep Learning and Lagrangian Dual Methods
Ferdinando Fioretto, Terrence W. K. Mak, Pascal Van Hentenryck
The Optimal Power Flow (OPF) problem is a fundamental building block for the optimization of electrical power systems. It is nonlinear and nonconvex and computes the generator setp…
Privacy-Preserving Obfuscation of Critical Infrastructure Networks
Ferdinando Fioretto, Terrence W. K. Mak, Pascal Van Hentenryck
The paper studies how to release data about a critical infrastructure network (e.g., the power network or a transportation network) without disclosing sensitive information that ca…
Differential Privacy for Power Grid Obfuscation
Ferdinando Fioretto, Terrence W. K. Mak, Pascal Van Hentenryck
The availability of high-fidelity energy networks brings significant value to academic and commercial research. However, such releases also raise fundamental concerns related to pr…