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20212023
most citedMultiLoad-GAN: A GAN-Based Synthetic Load Group Generation Method Considering Spatial-Temporal Correlations

37 citations · 54 across the 11 of their papers we have counts for

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Showing 2022Show all

8 papers · 1 filter

eess.SY2022★ 1 cited

A Modified Sequence-to-point HVAC Load Disaggregation Algorithm

Kai Ye, Hyeonjin Kim, Yi Hu +3

This paper presents a modified sequence-to-point (S2P) algorithm for disaggregating the heat, ventilation, and air conditioning (HVAC) load from the total building electricity cons…

eess.SP2022★ 2 cited

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…

eess.SY2022

An Iterative Bidirectional Gradient Boosting Approach for CVR Baseline Estimation

Han Pyo Lee, Yiyan Li, Lidong Song +2

This paper presents a novel Iterative Bidirectional Gradient Boosting Model (IBi-GBM) for estimating the baseline of Conservation Voltage Reduction (CVR) programs. In contrast to m…

eess.SP2022★ 37 cited

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…

eess.SY2022

A Novel Power-Band based Data Segmentation Method for Enhancing Meter Phase and Transformer-Meter Pairing Identification

Han Pyo Lee, PJ Rehm, Matthew Makdad +2

This paper presents a novel power-band-based data segmentation (PBDS) method to enhance the identification of meter phase and meter-transformer pairing. Meters that share the same…

eess.SY2022

An ICA-Based HVAC Load Disaggregation Method Using Smart Meter Data

Hyeonjin Kim, Kai Ye, Han Pyo Lee +4

This paper presents an independent component analysis (ICA) based unsupervised-learning method for heat, ventilation, and air-conditioning (HVAC) load disaggregation using low-reso…

eess.SY2022★ 1 cited

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.…

eess.SY2022

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…