Electric load forecasting based on deep learning and optimized by heuristic algorithm in smart grid
Author:
Publisher
Elsevier BV
Subject
Management, Monitoring, Policy and Law,Mechanical Engineering,General Energy,Building and Construction
Reference60 articles.
1. Energy efficient integration of renewable energy sources in the smart grid for demand side management;Javaid;IEEE Access,2018
2. Research and application of a hybrid model based on multi-objective optimization for electrical load forecasting;Xiao;Appl Energy,2016
3. Smart electricity meter data intelligence for future energy systems: A survey;Alahakoon;IEEE Trans Industr Inf,2016
4. A survey on electric power demand forecasting: future trends in smart grids, microgrids and smart buildings;Hernandez;IEEE Commun Surveys Tut,2014
5. Predicting electricity consumption for commercial and residential buildings using deep recurrent neural networks;Rahman;Appl Energy,2018
Cited by 226 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. Cooperative stochastic energy management of networked energy hubs considering environmental perspectives;Energy Reports;2024-12
2. Deep learning modeling in electricity load forecasting: Improved accuracy by combining DWT and LSTM;Energy Reports;2024-12
3. Edge AI-driven neural network predictions for replica sync optimization;Applied Soft Computing;2024-11
4. Stochastic energy management of large industrial-scale aquaponics considering robust optimization-based demand response program;Applied Energy;2024-11
5. Closed-loop state of charge estimation of Li-ion batteries based on deep learning and robust adaptive Kalman filter;Energy;2024-10
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