Yi Hu

College of Engineering

Works (6)

Updated: January 31st, 2025 05:02

2025 journal article

ViT4LPA: A Vision Transformer for advanced smart meter Load Profile Analysis

APPLIED ENERGY, 382.

By: H. Kim*, Y. Hu* , K. Ye* & N. Lu* 

author keywords: Pre-trained models; Self-supervised learning; Load disaggregation; Vision transformer; Smart meter; Machine learning
UN Sustainable Development Goals Color Wheel
UN Sustainable Development Goal Categories
7. Affordable and Clean Energy (OpenAlex)
Sources: ORCID, Web Of Science, NC State University Libraries
Added: January 7, 2025

2024 journal article

Applying fine-tuned LLMs for reducing data needs in load profile analysis

APPLIED ENERGY, 377.

By: Y. Hu* , H. Kim*, K. Ye* & N. Lu* 

author keywords: Fine-Tuning; Large Language Models; Load Profile Analysis; Missing Data Restoration; Prompt Engineering
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.

By: Y. Hu n , K. Ye n, H. Kim n & N. Lu n 

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 Goals Color Wheel
UN Sustainable Development Goal Categories
Sources: ORCID, Web Of Science, 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.

By: K. Ye n, H. Kim n, Y. Hu n , N. Lu n , 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 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)
UN Sustainable Development Goals Color Wheel
UN Sustainable Development Goal Categories
Sources: ORCID, Web Of Science, 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)
UN Sustainable Development Goals Color Wheel
UN Sustainable Development Goal Categories
Sources: ORCID, Web Of Science, NC State University Libraries
Added: February 2, 2024

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