37 citations · 51 across the 10 of their papers we have counts for
10 papers
Load Profile Inpainting for Missing Load Data Restoration and Baseline Estimation
Yiyan Li, Lidong Song, Yi Hu +4
This paper introduces a Generative Adversarial Nets (GAN) based, Load Profile Inpainting Network (Load-PIN) for restoring missing load data segments and estimating the baseline for…
MultiLoad-GAN: A GAN-Based Synthetic Load Group Generation Method Considering Spatial-Temporal Correlations
Yi Hu, Yiyan Li, Lidong Song +5
This paper presents a deep-learning framework, Multi-load Generative Adversarial Network (MultiLoad-GAN), for generating a group of synthetic load profiles (SLPs) simultaneously. T…
Feeder Microgrid Management on an Active Distribution System during a Severe Outage
Valliappan Muthukaruppan, Ashwin Shirsat, Rongxing Hu +7
Forming a microgrid on a distribution system with large scale outage after a severe weather event is emerging as a viable solution to improve resiliency at the distribution level.…
SA-HMTS: A Secure and Adaptive Hierarchical Multi-timescale Framework for Resilient Load Restoration Using A Community Microgrid
Ashwin Shirsat, Valliappan Muthukaruppan, Rongxing Hu +8
Distribution system integrated community microgrids (CMGs) can partake in restoring loads during extended duration outages. At such times, the CMG is challenged with limited resour…
A TCN-based Hybrid Forecasting Framework for Hours-ahead Utility-scale PV Forecasting
Yiyan Li, Lidong Song, Si Zhang +5
This paper presents a Temporal Convolutional Network (TCN) based hybrid PV forecasting framework for enhancing hours-ahead utility-scale PV forecasting. The hybrid framework consis…
ProfileSR-GAN: A GAN based Super-Resolution Method for Generating High-Resolution Load Profiles
Lidong Song, Yiyan Li, Ning Lu
It is a common practice for utilities to down-sample smart meter measurements from high resolution (e.g. 1-min or 1-sec) to low resolution (e.g. 15-, 30- or 60-min) to lower the da…
A Load Switching Group based Feeder-level Microgrid Energy Management Algorithm for Service Restoration in Power Distribution System
Rongxing Hu, Yiyan Li, Si Zhang +6
This paper presents a load switching group based energy management system (LSG-EMS) for operating microgrids on a distribution feeder powered by one or multiple grid-forming distri…
A Meta-learning based Distribution System Load Forecasting Model Selection Framework
Yiyan Li, Si Zhang, Rongxing Hu +1
This paper presents a meta-learning based, automatic distribution system load forecasting model selection framework. The framework includes the following processes: feature extract…
A Reinforcement Learning Method For Power Suppliers' Strategic Bidding with Insufficient Information
Qiangang Jia, Zhaoyu Hu, Yiyan Li +2
Power suppliers can exercise market power to gain higher profit. However, this becomes difficult when external information is extremely rare. To get a promising performance in an e…
GenCos' Behaviors Modeling Based on Q Learning Improved by Dichotomy
Qiangang Jia, Zhaoyu Hu, Yiyan Li +2
Q learning is widely used to simulate the behaviors of generation companies (GenCos) in an electricity market. However, existing Q learning method usually requires numerous iterati…