Short-mid term electricity consumption prediction using non-intrusive attention-augmented deep learning model
Author:
Publisher
Elsevier BV
Subject
General Energy
Reference33 articles.
1. Neural machine translation by jointly learning to align and translate;Bahdanau;Comput. Sci.,2014
2. Time series forecasting with multi-headed attention-based deep learning for residential energy consumption;Bu;Energies,2020
3. Energy management optimisation using a combined long short-term memory recurrent neural network–particle swarm optimisation model;Cao;J. Clean. Prod.,2021
4. An ensemble learning model based on Bayesian model combination for solar energy prediction;Chang;J. Renew. Sustain. Energy,2019
5. Physical energy and data-driven models in building energy prediction: A review;Chen;Energy Rep.,2022
Cited by 7 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. Deep convolutional neural networks for short-term multi-energy demand prediction of integrated energy systems;International Journal of Electrical Power & Energy Systems;2024-09
2. Probabilistic-based electricity demand forecasting with hybrid convolutional neural network-extreme learning machine model;Engineering Applications of Artificial Intelligence;2024-06
3. A non-intrusive method of industrial load disaggregation based on load operating states and improved grey wolf algorithm;Applied Energy;2023-12
4. Optimized Annual State Electricity Consumption Prediction Using GWO-GNN;2023 International Conference on Electronics and Devices, Computational Science (ICEDCS);2023-09-22
5. Deep Learning Models for Multi-Energy Prediction of Combined Electrical, Heat and Gas network systems;2023 International Joint Conference on Neural Networks (IJCNN);2023-06-18
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