Hanpyo Lee

College of Engineering

Works (7)

Updated: July 4th, 2024 05:00

2024 journal article

An iterative bidirectional gradient boosting approach for CVR baseline estimation

APPLIED ENERGY, 369.

By: H. Lee n, Y. Li *, L. Song  n, D. Wu * & N. Lu n 

author keywords: Baseline estimation; Bidirectional prediction; Conservation Voltage Reduction (CVR); Forecast reconciliation; Gradient boosting; Load forecasting
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UN Sustainable Development Goal Categories
Sources: Web Of Science, NC State University Libraries
Added: July 1, 2024

2023 journal article

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

IEEE ACCESS, 11, 101514–101524.

By: H. Lee n, K. Dsouza*, K. Chen *, N. Lu n  & M. Baran n 

author keywords: DER impact mitigation; distribution system; dynamic VAR compensator (DVC); high penetration PV; smart inverter; Volt/VAR control
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7. Affordable and Clean Energy (Web of Science; OpenAlex)
Sources: Web Of Science, NC State University Libraries, ORCID
Added: October 16, 2023

2023 article

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

2023 IEEE POWER & ENERGY SOCIETY INNOVATIVE SMART GRID TECHNOLOGIES CONFERENCE, ISGT.

By: H. Kim n, K. Ye n, H. Lee n, R. Hu n, N. Lu n , D. Wu *, P. Rehm

author keywords: HVAC system; Independent component analysis; Non-intrusive load monitoring; Smart meter data
TL;DR: An independent component analysis (ICA) based unsupervised-learning method for heat, ventilation, and air-conditioning (HVAC) load disaggregation using low-resolution smart meter data and uses the dependency between the daily nocturnal and diurnal loads extracted from historical meter data to smooth the base load profile. (via Semantic Scholar)
UN Sustainable Development Goals Color Wheel
UN Sustainable Development Goal Categories
7. Affordable and Clean Energy (Web of Science; OpenAlex)
Sources: Web Of Science, NC State University Libraries
Added: June 5, 2023

2023 article

An Iterative Bidirectional Gradient Boosting Algorithm for CVR Baseline Estimation

2023 IEEE POWER & ENERGY SOCIETY GENERAL MEETING, PESGM.

By: H. Lee n, L. Song  n, Y. Li  n, N. Lu n , D. Wu *, P. Rehm, M. Makdad, E. Miller

author keywords: Baseline estimation; bidirectional prediction; Conservation Voltage Reduction (CVR); forecast reconciliation; gradient boosting; load forecasting
TL;DR: This paper presents a novel iterative, bidirectional, gradient boosting (bidirectional-GB) algorithm for estimating the baseline of the Conservation Voltage Reduction (CVR) program and tests two gradient boosting methods with two data resolutions. (via Semantic Scholar)
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15. Life on Land (OpenAlex)
Sources: Web Of Science, NC State University Libraries
Added: November 20, 2023

2023 article

Design Considerations of a Coordinative Demand Charge Mitigation Strategy

2023 IEEE POWER & ENERGY SOCIETY GENERAL MEETING, PESGM.

By: R. Hu n, K. Ye n, H. Kim n, H. Lee n, N. Lu n , D. Wu *, P. Rehm

author keywords: demand reduction; demand response; load forecast; payback; peak demand probability.
UN Sustainable Development Goals Color Wheel
UN Sustainable Development Goal Categories
7. Affordable and Clean Energy (Web of Science; OpenAlex)
Sources: Web Of Science, NC State University Libraries
Added: November 20, 2023

2023 journal article

Load Profile Inpainting for Missing Load Data Restoration and Baseline Estimation

IEEE TRANSACTIONS ON SMART GRID, 15(2), 2251–2260.

By: Y. Li  n, L. Song n, Y. Hu n , H. Lee n, D. Wu *, P. Rehm, N. Lu n 

author keywords: Conservation voltage reduction; deep learning; generative adversarial nets (GAN); gated convolution; generative adversarial network; missing data restoration; self-attention mechanism
TL;DR: 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 a demand response event and benchmark the performance of Load-PIN with five existing deep-learning methods. (via Semantic Scholar)
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Sources: Web Of Science, ORCID, NC State University Libraries
Added: February 2, 2024

2023 journal article

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

IEEE TRANSACTIONS ON SMART GRID, 15(2), 2309–2320.

By: Y. Hu n , Y. Li  n, L. Song n, H. Lee n, P. Rehm, M. Makdad, E. Miller, N. Lu n 

author keywords: Load modeling; Training; Transformers; Correlation; Data models; Generative adversarial networks; Predictive models; Data augmentation; generative adversarial networks; load profile group generation; machine learning; negative sample generation; synthetic data
TL;DR: Simulation results show that MultiLoad-GAN can generate more realistic load profiles than existing approaches, especially in group level characteristics. (via Semantic Scholar)
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UN Sustainable Development Goal Categories
Sources: Web Of Science, ORCID, NC State University Libraries
Added: February 2, 2024

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