Search Results for author: Han Pyo Lee

Found 6 papers, 0 papers with code

Adopting Dynamic VAR Compensators to Mitigate PV Impacts on Unbalanced Distribution Systems

no code implementations12 Sep 2023 Han Pyo Lee, Keith DSouza, Ke Chen, Ning Lu, Mesut Baran

However, the effectiveness of this scheme is not well documented, and there is limited literature on alternative control and placement schemes that can maximize the effective use of a DVC.

An Iterative Bidirectional Gradient Boosting Approach for CVR Baseline Estimation

no code implementations7 Nov 2022 Han Pyo Lee, Yiyan Li, Lidong Song, Di wu, Ning Lu

In contrast to many existing methods, we treat CVR baseline estimation as a missing data retrieval problem.

MultiLoad-GAN: A GAN-Based Synthetic Load Group Generation Method Considering Spatial-Temporal Correlations

no code implementations3 Oct 2022 Yi Hu, Yiyan Li, Lidong Song, Han Pyo Lee, PJ Rehm, Matthew Makdad, Edmond Miller, Ning Lu

This paper presents a deep-learning framework, Multi-load Generative Adversarial Network (MultiLoad-GAN), for generating a group of synthetic load profiles (SLPs) simultaneously.

Data Augmentation Generative Adversarial Network

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

no code implementations1 Oct 2022 Han Pyo Lee, PJ Rehm, Matthew Makdad, Edmond Miller, Ning Lu

To ensure the credibility of the identification results, utility engineers conduct field verification for all 13 feeders.

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

no code implementations19 Sep 2022 Hyeonjin Kim, Kai Ye, Han Pyo Lee, Rongxing Hu, Ning Lu, Di wu, PJ Rehm

The residual load profiles are processed using ICA for HVAC load extraction.

A Novel Data Segmentation Method for Data-driven Phase Identification

no code implementations20 Nov 2021 Han Pyo Lee, Mingzhi Zhang, Mesut Baran, Ning Lu, PJ Rehm, Edmond Miller, Matthew Makdad

To improve the identification accuracy, a data segmentation method is proposed to exclude data segments that are collected when the voltage correlation between smart meters on the same phase are weakened.

Clustering

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