Lidong Song

College of Engineering

Works (5)

Updated: April 20th, 2024 05:02

2024 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*, L. Song n, Y. Hu n, H. Lee n, D. Wu*, P. Rehm, N. Lu

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)
Sources: Web Of Science, ORCID, NC State University Libraries
Added: February 1, 2024

2024 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

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)
Sources: Web Of Science, ORCID, NC State University Libraries
Added: February 1, 2024

2023 journal article

A Secure and Adaptive Hierarchical Multi-Timescale Framework for Resilient Load Restoration Using a Community Microgrid

IEEE TRANSACTIONS ON SUSTAINABLE ENERGY, 14(2), 1057–1075.

By: A. Shirsat*, V. Muthukaruppan, R. Hu n, V. Paduani*, B. Xu n, L. Song n, Y. Li n, N. Lu n ...

author keywords: Active distribution networks; community microgrids; hybrid PV systems; load restoration; high-impact low-frequency events; secure operation; uncertainty; resiliency
UN Sustainable Development Goal Categories
Sources: Web Of Science, ORCID, NC State University Libraries
Added: March 2, 2023

2022 journal article

ProfileSR-GAN: A GAN Based Super-Resolution Method for Generating High-Resolution Load Profiles

IEEE TRANSACTIONS ON SMART GRID, 13(4), 3278–3289.

By: L. Song n, Y. Li n & N. Lu

author keywords: Generative adversarial networks; Superresolution; Load modeling; Generators; Meteorology; Fluctuations; Data models; Generative adversarial networks; load profile generation; machine learning; non-intrusive load monitoring; super-resolution; synthetic data
TL;DR: Results show that ProfileSR-GAN outperforms the state-of-the-art methods in all shape-based metrics and can achieve comparable performance with those methods in point-to-point matching accuracy, and the performance of a downstream task, non-intrusive load monitoring, can be significantly improved. (via Semantic Scholar)
Sources: Web Of Science, ORCID, NC State University Libraries
Added: June 22, 2022

2021 article

Maximum Power Reference Tracking Algorithm for Power Curtailment of Photovoltaic Systems

2021 IEEE POWER & ENERGY SOCIETY GENERAL MEETING (PESGM).

By: V. Paduani n, L. Song n, B. Xu n & N. Lu

author keywords: Maximum power point tracking; PV Power curtailment; PV system control; PV system modeling; Real-time simulation
TL;DR: An algorithm for power curtailment of photovoltaic systems under fast solar irradiance intermittency based on the Perturb and Observe technique is presented, which indicates an operation with smaller overshoot, less dc-link voltage oscillations, and improved power reference tracking capability. (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: July 26, 2022

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