Reactive Power Load Forecasting based on K-means Clustering and Random Forest Algorithm
Author:
Affiliation:
1. Company Electric Power Science Research Institute,State Grid Shaanxi Electric Power,Taiyuan,China,030001
2. North China Electric Power University,Institue of Electrical and Electronic Engineering,Beijing,China,102206
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9697403/9697404/09697840.pdf?arnumber=9697840
Reference8 articles.
1. Short-term load forecasting of industrial customers based on SVMD and XGBoost
2. Reactive Load Prediction Based on a Long Short-Term Memory Neural Network
3. Short-Term Residential Load Forecasting Based on LSTM Recurrent Neural Network
4. Short-Term Load Forecasting Using EMD-LSTM Neural Networks with a Xgboost Algorithm for Feature Importance Evaluation
5. Classification and regression by randomForest;liaw;R News,2002
Cited by 4 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. Very Short-Term Reactive Power Forecasting Using Machine Learning-Based Algorithms;2024 9th International Youth Conference on Energy (IYCE);2024-07-02
2. Multi-user Power Load Forecasting Based on K-means and Deep Neural Network;2023 IEEE 3rd International Conference on Electronic Technology, Communication and Information (ICETCI);2023-05-26
3. K-Means and Alternative Clustering Methods in Modern Power Systems;IEEE Access;2023
4. Short-Term Reactive Load Forecasting Based on a Hybrid Machine Learning Model;2022 Power System and Green Energy Conference (PSGEC);2022-08
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