A unified Bayesian filtering framework for multi-horizon wind speed prediction with improved accuracy
Author:
Publisher
Elsevier BV
Subject
Renewable Energy, Sustainability and the Environment
Reference42 articles.
1. Wind speed prediction method using shared weight long short-term memory Network and Gaussian process regression;Zhang;Appl. Energy,2019
2. A novel probabilistic wind speed prediction approach using real time refined variational model decomposition and conditional kernel density estimation;Jiang;Energy Convers. Manag.,2019
3. Analysis and application of forecasting models in wind power integration: a review of multi-step-ahead wind speed forecasting models;Wang;Renew. Sustain. Energy Rev.,2016
4. Current status of wind energy forecasting and a hybrid method for hourly predictions;Okumus;Energy Convers. Manag.,2016
5. Short term wind power forecasting using adaptive neuro-fuzzy inference systems;Johnson,2007
Cited by 11 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 novel hybrid forecasting model with feature selection and deep learning for wind speed research;Journal of Forecasting;2024-02-28
2. Short-term wind speed prediction based on improved Hilbert–Huang transform method coupled with NAR dynamic neural network model;Scientific Reports;2024-01-05
3. Multi-Step-Ahead Wind Speed Forecast System: Hybrid Multivariate Decomposition and Feature Selection-Based Gated Additive Tree Ensemble Model;IEEE Access;2024
4. Remaining useful life prediction of ball screw based on integrating preload and precision;Measurement Science and Technology;2023-11-08
5. A compound framework incorporating improved outlier detection and correction, VMD, weight-based stacked generalization with enhanced DESMA for multi-step short-term wind speed forecasting;Applied Energy;2023-10
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