37 citations · 41 across the 8 of their papers we have counts for
5 papers · 1 filter
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…
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…
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…
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…
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…