Lidong Song
College of Engineering
Works (5)
Updated: July 3rd, 2024 11:02
2024 journal article
Load Profile Inpainting for Missing Load Data Restoration and Baseline Estimation
IEEE TRANSACTIONS ON SMART GRID, 15(2), 2251–2260.
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)
arxiv.org (repository)
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.
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.
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
7. Affordable and Clean Energy
(Web of Science)
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.
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).
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
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.