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06/15/2023
Towards Practical Federated Causal Structure Learning
Understanding causal relations is vital in scientific discovery. The pro...
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08/02/2021
Synthetic Active Distribution System Generation via Unbalanced Graph Generative Adversarial Network
Real active distribution networks with associated smart meter (SM) data ...
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12/04/2020
A Hierarchical Deep Actor-Critic Learning Method for Joint Distribution System State Estimation
Due to increasing penetration of volatile distributed photovoltaic (PV) ...
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12/04/2020
Multi-Source Data-Driven Outage Location in Distribution Systems Using Probabilistic Graph Learning
Efficient outage location is critical to enhancing the resilience of pow...
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11/29/2020
Hybrid Imitation Learning for Real-Time Service Restoration in Resilient Distribution Systems
Self-healing capability is one of the most critical factors for a resili...
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01/23/2020
Bayesian estimates of transmission line outage rates that consider line dependencies
Transmission line outage rates are fundamental to power system reliabili...
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10/26/2018
A Data-Driven Approach for Estimating Customer Contribution to System Peak Demand
The increasing penetration of smart meters (SMs) provides an opportunity...
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09/10/2018
