1 citations · 1 across the 8 of their papers we have counts for
9 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…
MAUSAM: An Observations-focused assessment of Global AI Weather Prediction Models During the South Asian Monsoon
Aman Gupta, Aditi Sheshadri, Dhruv Suri
Accurate weather forecasts are critical for societal planning and disaster preparedness. Yet these forecasts remain challenging to produce and evaluate, especially in regions with…
PowerGNN: A Topology-Aware Graph Neural Network for Electricity Grids
Dhruv Suri, Mohak Mangal
The increasing penetration of renewable energy sources introduces significant variability and uncertainty in modern power systems, making accurate state prediction critical for rel…
Grid-level impacts of renewable energy on thermal generation: efficiency, emissions and flexibility
Dhruv Suri, Jacques de Chalendar, Ines Azevedo
Wind and solar generation constitute an increasing share of electricity supply globally. We find that this leads to shifts in the operational dynamics of thermal power plants. Usin…
Operational Wind Speed Forecasts for Chile's Electric Power Sector Using a Hybrid ML Model
Dhruv Suri, Praneet Dutta, Flora Xue +2
As Chile's electric power sector advances toward a future powered by renewable energy, accurate forecasting of renewable generation is essential for managing grid operations. The i…
What are the real implications for as generation from renewables increases?
Dhruv Suri, Jacques de Chalendar, Ines Azevedo
Wind and solar electricity generation account for 14% of total electricity generation in the United States and are expected to continue to grow in the next decades. In low carbon s…
Nowcasting day-ahead marginal emissions using multi-headed CNNs and deep generative models
Dhruv Suri, Anela Arifi, Ines Azevedo
Nowcasting day-ahead marginal emissions factors is increasingly important for power systems with high flexibility and penetration of distributed energy resources. With a significan…