Works (3)
Updated: April 15th, 2024 08:54
2024 journal article
Load Profile Inpainting for Missing Load Data Restoration and Baseline Estimation
IEEE Transactions on Smart Grid.
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)
Source: ORCID
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.
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)
Source: ORCID
Added: February 1, 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
(OpenAlex)
Sources: Web Of Science, ORCID
Added: November 20, 2023
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.
