Hyeonjin Kim

College of Engineering

Works (4)

Updated: April 5th, 2024 14:34

2023 article

A Modified Sequence-to-point HVAC Load Disaggregation Algorithm

2023 IEEE POWER & ENERGY SOCIETY GENERAL MEETING, PESGM.

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

author keywords: demand response; HVAC load; load disaggregation; machine learning; convolutional neural network (CNN); transfer learning
TL;DR: Simulation results show that the proposed modified S2P algorithm outperforms the original S1P model and the support-vector machine based approach in accuracy, adaptability, and transferability. (via Semantic Scholar)
UN Sustainable Development Goal Categories
7. Affordable and Clean Energy (OpenAlex)
Sources: Web Of Science, NC State University Libraries
Added: November 20, 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, H. Lee n, R. Hu n, N. Lu, 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 Goal Categories
7. Affordable and Clean Energy (OpenAlex)
Sources: Web Of Science, NC State University Libraries
Added: June 5, 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, H. Lee n, N. Lu, D. Wu*, P. Rehm

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

2021 journal article

Probabilistic Solar Power Forecasting Based on Bivariate Conditional Solar Irradiation Distributions

IEEE TRANSACTIONS ON SUSTAINABLE ENERGY, 12(4), 2031–2041.

By: H. Kim n & D. Lee*

author keywords: Forecasting; Predictive models; Probabilistic logic; Correlation; Gaussian processes; Solar power generation; Probabilistic forecasting; Solar power; Kriging technique; Offer strategy; Gaussian process; Gradient boosting
TL;DR: A two-stage probabilistic solar power (SP) forecasting algorithm to utilize the solar irradiation (SI) observations measured from different locations and a changeable ensemble model, where there are different weights for each weather condition, is proposed. (via Semantic Scholar)
UN Sustainable Development Goal Categories
7. Affordable and Clean Energy (Web of Science; OpenAlex)
Source: Web Of Science
Added: October 12, 2021

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