Research on power energy load forecasting method based on KNN
Author:
Affiliation:
1. Zhengzhou Railway Vocational & Technical College, Zhengzhou, People’s Republic of China
Publisher
Informa UK Limited
Subject
Building and Construction,Renewable Energy, Sustainability and the Environment
Link
https://www.tandfonline.com/doi/pdf/10.1080/01430750.2019.1682041
Reference8 articles.
1. A new feature selection and hybrid forecast engine for day-ahead price forecasting of electricity markets
2. A Novel Hybrid Method for Short-Term Power Load Forecasting
3. A new wind power prediction method based on ridgelet transforms, hybrid feature selection and closed-loop forecasting
4. A new short-term load forecasting method of power system based on EEMD and SS-PSO
5. Electricity load forecasting by an improved forecast engine for building level consumers
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. Ufuk Amaçlı Genetik Programlama ile Hava Durumu Tahminine Güven Aralıklı Yaklaşım;Düzce Üniversitesi Bilim ve Teknoloji Dergisi;2024-01-26
2. Daily Peak Load Forecast of Banda Aceh City Using Adaptive Neuro Fuzzy Inference System (ANFIS) Method;2023 2nd International Conference on Computer System, Information Technology, and Electrical Engineering (COSITE);2023-08-02
3. A multivariate ensemble learning method for medium-term energy forecasting;Neural Computing and Applications;2023-07-10
4. Load Forecasting Method of Residential District Based on Improved Feature Processing and Hybrid Neural Network;2023 5th International Conference on Intelligent Control, Measurement and Signal Processing (ICMSP);2023-05-19
5. Cadmium selenium nanocrystal: first-principles insight into the structural, electronic, and optical properties;Journal of the Korean Physical Society;2022-03-28
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