Hyeonjin Kim
College of Engineering
Is this your profile?
Claim your Citation Index profile in order to display more information about you and gain access to Libraries services. Just create or connect your ORCID iD.
Create or connect your ORCID iD
Works (7)
Updated: December 16th, 2024 08:11
2024 journal article
A Contextually Supervised Optimization-Based HVAC Load Disaggregation Methodology
IEEE TRANSACTIONS ON SMART GRID, 15(4), 3852–3863.
author keywords: HVAC; Optimization; Hidden Markov models; Estimation; Load modeling; Dictionaries; Smart meters; Load disaggregation; non-intrusive load monitoring; optimization-based blind source separation; contextual supervision
UN Sustainable Development Goal Categories
7. Affordable and Clean Energy
(Web of Science)
Sources: Web Of Science, NC State University Libraries
Added: July 8, 2024
2024 journal article
Applying fine-tuned LLMs for reducing data needs in load profile analysis
APPLIED ENERGY, 377.
author keywords: Fine-Tuning; Large Language Models; Load Profile Analysis; Missing Data Restoration; Prompt Engineering
open access via arxiv.org (repository)
Sources: Web Of Science, NC State University Libraries
Added: December 9, 2024
2024 article
BERT-PIN: A BERT-Based Framework for Recovering Missing Data Segments in Time-Series Load Profiles
Hu, Y., Ye, K., Kim, H., & Lu, N. (2024, July 1). IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, Vol. 7.
author keywords: Load modeling; Transformers; Encoding; Data models; Bidirectional control; Power systems; Adaptation models; Bidirectional encoder representations from transformers (BERT); conservation voltage reduction; machine learning; missing data restoration; power system; transformer
UN Sustainable Development Goal Categories
3. Good Health and Well-being
(Web of Science)
Sources: Web Of Science, ORCID, NC State University Libraries
Added: July 8, 2024
2023 article
A Modified Sequence-to-point HVAC Load Disaggregation Algorithm
2023 IEEE POWER & ENERGY SOCIETY GENERAL MEETING, PESGM.
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
(Web of Science; 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.
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
(Web of Science; 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.
author keywords: demand reduction; demand response; load forecast; payback; peak demand probability.
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
2021 journal article
Probabilistic Solar Power Forecasting Based on Bivariate Conditional Solar Irradiation Distributions
IEEE TRANSACTIONS ON SUSTAINABLE ENERGY, 12(4), 2031–2041.
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
Citation Index includes data from a number of different sources. If you have questions about the sources of data in the Citation Index or need a set of data which is free to re-distribute, please contact us.
Certain data included herein are derived from the Web of Science© and InCites© (2024) of Clarivate Analytics. All rights reserved. You may not copy or re-distribute this material in whole or in part without the prior written consent of Clarivate Analytics.