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Presolving Convexified Optimal Power Flow with Mixtures of Gradient Experts
Shourya Bose, Kejun Chen, Yu Zhang
Convex relaxations and approximations of the optimal power flow (OPF) problem have gained significant research and industrial interest for planning and operations in electric power…
Privacy-Preserving Load Forecasting via Personalized Model Obfuscation
Shourya Bose, Yu Zhang, Kibaek Kim
The widespread adoption of smart meters provides access to detailed and localized load consumption data, suitable for training building-level load forecasting models. To mitigate p…
Federated Short-Term Load Forecasting with Personalization Layers for Heterogeneous Clients
Shourya Bose, Kibaek Kim
The advent of smart meters has enabled pervasive collection of energy consumption data for training short-term load forecasting (STLF) models. In response to privacy concerns, fede…
On LinDistFlow Model Congestion Pricing: Bounding the Changes in Power Tariffs
Shourya Bose, Kejun Chen, Yu Zhang
The optimal power flow (OPF) problem is an important mathematical program that aims at obtaining the best operating point of an electric power grid. The optimization problem typica…