Short-term microgrid load probability density forecasting method based on k-means-deep learning quantile regression
Author:
Publisher
Elsevier BV
Subject
General Energy
Reference31 articles.
1. Load probability density forecasting by transforming and combining quantile forecasts;Zhang;Appl Energy,2020
2. Short-term load forecasting for an industrial park using LSTM-RNN considering energy storage;Li,2021
3. Short-term power load probability density forecasting based on quantile regression neural network and triangle kernel function;He;Energy,2016
4. Combining probability density forecasts for power electrical loads;Li;IEEE Trans Smart Grid,2020
5. Multimodal feature extraction and fusion deep neural networks for short-term load forecasting;Kong;IEEE Access,2020
Cited by 19 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. Stochastic optimisation of district integrated energy systems based on a hybrid probability forecasting model;Energy;2024-10
2. Advanced Forecasting Techniques for Smart Grids to Enhance Energy Efficiency and Sustainability;Proceedings of the 2024 International Conference on Information Technology for Social Good;2024-09-04
3. Improved load demand prediction for cluster microgrids using modified temporal convolutional feed forward network;Telecommunication Systems;2024-07-17
4. Solar photovoltaic generation and electrical demand forecasting using multi-objective deep learning model for smart grid systems;Cogent Engineering;2024-04-20
5. Modeling forecast errors for microgrid operation using Gaussian process regression;Scientific Reports;2024-01-25
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