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01/21/2023
Compact Optimization Learning for AC Optimal Power Flow
This paper reconsiders end-to-end learning approaches to the Optimal Pow...
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08/16/2022
Active Bucketized Learning for ACOPF Optimization Proxies
This paper considers optimization proxies for Optimal Power Flow (OPF), ...
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05/08/2022
Learning Regionally Decentralized AC Optimal Power Flows with ADMM
One potential future for the next generation of smart grids is the use o...
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01/17/2021
Spatial Network Decomposition for Fast and Scalable AC-OPF Learning
This paper proposes a novel machine-learning approach for predicting AC-...
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06/29/2020
High-Fidelity Machine Learning Approximations of Large-Scale Optimal Power Flow
The AC Optimal Power Flow (AC-OPF) is a key building block in many power...
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10/07/2019
Privacy-Preserving Obfuscation for Distributed Power Systems
This paper considers the problem of releasing privacy-preserving load da...
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09/19/2019
Predicting AC Optimal Power Flows: Combining Deep Learning and Lagrangian Dual Methods
The Optimal Power Flow (OPF) problem is a fundamental building block for...
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05/23/2019
Privacy-Preserving Obfuscation of Critical Infrastructure Networks
The paper studies how to release data about a critical infrastructure ne...
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01/21/2019