Intelligent Forecasting and Optimization in Electrical Power Systems: Advances in Models and Applications
Author:
Affiliation:
1. Faculty of Electrical Engineering, Czestochowa University of Technology, 42-200 Czestochowa, Poland
2. Electrical Power Engineering Institute, Warsaw University of Technology, 00-662 Warsaw, Poland
Abstract
Publisher
MDPI AG
Subject
Energy (miscellaneous),Energy Engineering and Power Technology,Renewable Energy, Sustainability and the Environment,Electrical and Electronic Engineering,Control and Optimization,Engineering (miscellaneous),Building and Construction
Link
https://www.mdpi.com/1996-1073/16/7/3024/pdf
Reference18 articles.
1. Piotrowski, P., Baczyński, D., and Kopyt, M. (2022). Medium-Term Forecasts of Load Profiles in Polish Power System including E-Mobility Development. Energies, 15.
2. Sulandari, W., Yudhanto, Y., and Rodrigues, P.C. (2022). The Use of Singular Spectrum Analysis and K-Means Clustering-Based Bootstrap to Improve Multistep Ahead Load Forecasting. Energies, 15.
3. Czapaj, R., Kamiński, J., and Sołtysik, M. (2022). A Review of Auto-Regressive Methods Applications to Short-Term Demand Forecasting in Power Systems. Energies, 15.
4. Dudek, G. (2022). A Comprehensive Study of Random Forest for Short-Term Load Forecasting. Energies, 15.
5. Pełka, P. (2023). Analysis and Forecasting of Monthly Electricity Demand Time Series Using Pattern-Based Statistical Methods. Energies, 16.
Cited by 2 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. Forecasting of Long-Range Electrical Loads in Najaf Province Using Markov Model;2023 6th International Conference on Engineering Technology and its Applications (IICETA);2023-07-15
2. Prospects and Challenges of the Machine Learning and Data-Driven Methods for the Predictive Analysis of Power Systems: A Review;Energies;2023-05-11
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