2 citations · 7 across the 15 of their papers we have counts for
16 papers
Mycelium: A Generalizable Cross-Grid Multi-Task Model for Electrical Distribution Systems
Zhengyang Wei, Shourya Bose, Helgi Hilmarsson +2
Electrical distribution grid operations require inference across heterogeneous networks from sparse, noisy, and incomplete time series measurements. In this work, we identify chall…
Newton's Lantern: A Reinforcement Learning Framework for Finetuning AC Power Flow Warm Start Models
Shourya Bose, Helgi Hilmarsson, Dhruv Suri
Neural warm starts can sharply reduce the number of Newton-Raphson iterations required to solve the AC power flow problem, but existing supervised approaches generalize poorly on h…
WARP: A Benchmark for Primal-Dual Warm-Starting of Interior-Point Solvers
Dhruv Suri, Helgi Hilmarsson, Shourya Bose
Solving AC Optimal Power Flow (AC-OPF) is of central importance in electricity market operations, where interior-point methods (IPMs) such as IPOPT are the standard solvers. A grow…
Physics-Informed Gradient Estimation for Accelerating Deep Learning based AC-OPF
Kejun Chen, Shourya Bose, Yu Zhang
The optimal power flow (OPF) problem can be rapidly and reliably solved by employing responsive online solvers based on neural networks. The dynamic nature of renewable energy gene…
From RNNs to Foundation Models: An Empirical Study on Commercial Building Energy Consumption
Shourya Bose, Yijiang Li, Amy Van Sant +2
Accurate short-term energy consumption forecasting for commercial buildings is crucial for smart grid operations. While smart meters and deep learning models enable forecasting usi…
Addressing Heterogeneity in Federated Load Forecasting with Personalization Layers
Shourya Bose, Yu Zhang, Kibaek Kim
The advent of smart meters has enabled pervasive collection of energy consumption data for training short-term load forecasting models. In response to privacy concerns, federated l…
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…
Unsupervised Deep Learning for AC Optimal Power Flow via Lagrangian Duality
Kejun Chen, Shourya Bose, Yu Zhang
Non-convex AC optimal power flow (AC-OPF) is a fundamental optimization problem in power system analysis. The computational complexity of conventional solvers is typically high and…
Convexity of Second-Order Cone Program in the Right Hand Side Parameter
Shourya Bose
In this note we prove that the optimum value of a second-order cone program (SOCP) is convex in the right hand side (RHS) parameter.
Co-optimization of Battery Routing and Load Restoration for Microgrids with Mobile Energy Storage Systems
Shourya Bose, Sifat Chowdhury, Yu Zhang
Mobile energy storage systems (MESS) offer great operational flexibility to enhance the resiliency of distribution systems in an emergency condition. The optimal placement and sizi…
Differentially Private Load Restoration for Microgrids with Distributed Energy Storage
Shourya Bose, Yu Zhang
Distributed energy storage systems (ESSs) can be efficiently leveraged for load restoration (LR) for a microgrid (MG) in island mode. When the ESSs are owned by third parties rathe…
Load Restoration in Islanded Microgrids: Formulation and Solution Strategies
Shourya Bose, Yu Zhang
Adverse circumstances such as extreme weather events can cause significant disruptions to normal operation of electric distribution systems (DS), which includes isolating parts of…
Control Under Action-Dependent Markov Packet Drops: An Event-Triggered Approach
Shourya Bose, Pavankumar Tallapragada
In this paper, we consider the problem of second moment stabilization of a scalar linear plant with process noise. We assume that the sensor must communicate with the controller ov…