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20242026
most citedLearning Power Flow with Confidence: A Probabilistic Guarantee Framework for Voltage Risk

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eess.SY2026

Strategic Spatial Load Shifting and Market Efficiency

Aron Brenner, Deepjyoti Deka, Line Roald +1

Large, spatially flexible electricity consumers such as data centers can reallocate demand across locations, influencing dispatch and prices in wholesale electricity markets. While…

eess.SY20261 cited

Learning Power Flow with Confidence: A Probabilistic Guarantee Framework for Voltage Risk

Parikshit Pareek, Sidhant Misra, Deepjyoti Deka

The absence of formal performance guarantees in machine learning (ML) has limited its adoption for safety-critical power system applications, where confidence and interpretability…

eess.SY2026

Coordinated Dynamic Operating Envelopes for Network-Admissible Flexibility at the Grid Edge

Ali Jalilian, Deepjyoti Deka, Md. Umar Hashmi +1

Dynamic operating envelopes (DOEs) provide a systematic framework to integrate the flexibility of distribution grid resources while safeguarding network limits such as line ratings…

eess.SY2026

Efficient Policy Adaptation for Voltage Control Under Unknown Topology Changes

Jie Feng, Yuanyuan Shi, Deepjyoti Deka

Reinforcement learning (RL) has shown great potential for designing voltage control policies, but their performance often degrades under changing system conditions such as topology…

eess.SY2025

Sparse Neural Approximations for Bilevel Adversarial Problems in Power Grids

Young-ho Cho, Harsha Nagarajan, Deepjyoti Deka +1

The adversarial worst-case load shedding (AWLS) problem is pivotal for identifying critical contingencies under line outages. It is naturally cast as a bilevel program: the upper l…

eess.SY2025

Gaussian Processes in Power Systems: Techniques, Applications, and Future Works

Bendong Tan, Tong Su, Yu Weng +6

The increasing integration of renewable energy sources (RESs) and distributed energy resources (DERs) has significantly heightened operational complexity and uncertainty in modern…