Short-term electricity load forecasting based on a novel data preprocessing system and data reconstruction strategy-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Short-term electricity load forecasting based on a novel data preprocessing system and data reconstruction strategy

Published:2023-10 Issue: Volume:77 Page:107432
ISSN:2352-7102
Container-title:Journal of Building Engineering
language:en
Short-container-title:Journal of Building Engineering

Author:

Meng Yao,Yun Sining,Zhao Zeni,Guo Jiaxin,Li Xinhong,Ye Dongfu,Jia Lingyun,Yang Liu

Publisher

Elsevier BV

Subject

Mechanics of Materials,Safety, Risk, Reliability and Quality,Building and Construction,Architecture,Civil and Structural Engineering

Reference52 articles.

1. Residential loads flexibility potential for demand response using energy consumption patterns and user segments;Afzalan;Appl. Energy,2019

2. Day-ahead short-term load probability density forecasting method with a decomposition-based quantile regression forest;He;Appl. Energy,2020

3. An interval decomposition-ensemble approach with data-characteristic-driven reconstruction for short-term load forecasting;Yang;Appl. Energy,2022

4. Deep reservoir architecture for short-term residential load forecasting: an online learning scheme for edge computing;Fujimoto;Appl. Energy,2021

5. The new hybrid approaches to forecasting short-term electricity load;Fan;Elec. Power Syst. Res.,2022

Cited by 4 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Research on priority scheduling strategy for smoothing power fluctuations of microgrid tie‐lines based on PER‐DDPG algorithm;IET Generation, Transmission & Distribution;2024-09-10

2. Short-Term Energy Forecasting to Improve the Estimation of Demand Response Baselines in Residential Neighborhoods: Deep Learning vs. Machine Learning;Buildings;2024-07-21

3. An attempt to augment performance of machine learning models in a pilot-scale urban wastewater treatment system;Journal of Water Process Engineering;2024-06

4. NARXNN Modeling of Ultrafiltration Process for Drinking Water Treatment;Communications in Computer and Information Science;2023-10-13

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号京ICP备18003416号-3