37 citations · 41 across the 6 of their papers we have counts for
6 papers
Applying Fine-Tuned LLMs for Reducing Data Needs in Load Profile Analysis
Yi Hu, Hyeonjin Kim, Kai Ye +1
This paper presents a novel method for utilizing fine-tuned Large Language Models (LLMs) to minimize data requirements in load profile analysis, demonstrated through the restoratio…
A Novel Vision Transformer based Load Profile Analysis using Load Images as Inputs
Hyeonjin Kim, Yi Hu, Kai Ye +1
This paper introduces ViT4LPA, an innovative Vision Transformer (ViT) based approach for Load Profile Analysis (LPA). We transform time-series load profiles into load images. This…
BERT-PIN: A BERT-based Framework for Recovering Missing Data Segments in Time-series Load Profiles
Yi Hu, Kai Ye, Hyeonjin Kim +1
Inspired by the success of the Transformer model in natural language processing and computer vision, this paper introduces BERT-PIN, a Bidirectional Encoder Representations from Tr…
A Modified Sequence-to-point HVAC Load Disaggregation Algorithm
Kai Ye, Hyeonjin Kim, Yi Hu +3
This paper presents a modified sequence-to-point (S2P) algorithm for disaggregating the heat, ventilation, and air conditioning (HVAC) load from the total building electricity cons…
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…
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…