DB-Net: A novel dilated CNN based multi-step forecasting model for power consumption in integrated local energy systems-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

DB-Net: A novel dilated CNN based multi-step forecasting model for power consumption in integrated local energy systems

Published:2021-12 Issue: Volume:133 Page:107023
ISSN:0142-0615
Container-title:International Journal of Electrical Power & Energy Systems
language:en
Short-container-title:International Journal of Electrical Power & Energy Systems

Author:

Khan Noman,Haq Ijaz Ul,Khan Samee Ullah,Rho Seungmin,Lee Mi Young,Baik Sung Wook

Funder

Ministry of Science and ICT, South Korea

National Research Foundation of Korea

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Energy Engineering and Power Technology

Reference66 articles.

1. Identifying disruptive contingencies for catastrophic cascading failures in power systems;Zhai;Int J Electr Power Energy Syst,2020

2. Networked and distributed control method with optimal power dispatch for islanded microgrids;Li;IEEE Trans Ind Electron,2016

3. Short-term residential load forecasting based on resident behaviour learning;Kong;IEEE Trans Power Syst,2017

4. Ecosystem maintenance energy and the need for a green EROI;Moriarty;Energy Policy,2019

5. Stochastic interval-based optimal offering model for residential energy management systems by household owners;Gazafroudi;Int J Electr Power Energy Syst,2019

Cited by 83 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. A load forecasting approach for integrated energy systems based on aggregation hybrid modal decomposition and combined model;Applied Energy;2024-12

2. Very short-term wind power forecasting for real-time operation using hybrid deep learning model with optimization algorithm;Cleaner Energy Systems;2024-12

3. Energy consumption forecasting based on spatio-temporal behavioral analysis for demand-side management;Applied Energy;2024-11

4. Enhancing interpretability in power management: A time-encoded household energy forecasting using hybrid deep learning model;Energy Conversion and Management;2024-09

5. Enhancing multivariate, multi-step residential load forecasting with spatiotemporal graph attention-enabled transformer;International Journal of Electrical Power & Energy Systems;2024-09

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