Regularized quantile regression averaging for probabilistic electricity price forecasting
Author:
Funder
Narodowe Centrum Nauki
Ministerstwo Nauki i Szkolnictwa Wyższego
Publisher
Elsevier BV
Subject
General Energy,Economics and Econometrics
Reference60 articles.
1. On the impact of outlier filtering on the electricity price forecasting accuracy;Afanasyev;Appl. Energy,2019
2. Probabilistic models for spatio-temporal photovoltaic power forecasting;Agoua;IEEE Transactions on Sustainable Energy,2019
3. Combining value-at-risk forecasts using penalized quantile regressions;Bayer;Econometrics and Statistics,2018
4. Statistical postprocessing of ensemble global radiation forecasts with penalized quantile regression;Ben Bouallègue;Meteorol. Z.,2017
5. Developing and comparing different strategies for combining probabilistic photovoltaic power forecasts in an ensemble method;Bracale;Energies,2019
Cited by 47 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. Intelligent crude oil price probability forecasting: Deep learning models and industry applications;Computers in Industry;2024-12
2. A probabilistic forecast methodology for volatile electricity prices in the Australian National Electricity Market;International Journal of Forecasting;2024-10
3. Probabilistic forecasting with a hybrid Factor-QRA approach: Application to electricity trading;Electric Power Systems Research;2024-09
4. Multivariate scenario generation of day-ahead electricity prices using normalizing flows;Applied Energy;2024-08
5. A novel multivariate electrical price bi-forecasting system based on deep learning, a multi-input multi-output structure and an operator combination mechanism;Applied Energy;2024-07
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