Clustering Representative Electricity Load Data Using a Particle Swarm Optimization Algorithm
Author:
Publisher
Springer International Publishing
Link
http://link.springer.com/content/pdf/10.1007/978-3-030-11593-7_8
Reference24 articles.
1. R. Granell, C.J. Axon, D.C.H. Wallom, Impacts of raw data temporal resolution using selected clustering methods on residential electricity load profiles. IEEE Trans. Power Syst. 30(6), 3217–3224 (2015)
2. G. Chicco, R. Napoli, P. Postolache, M. Scutriu, C. Toader, Customer characterization options for improving the tariff offer. IEEE Trans. Power Syst. 18(1), 381–387 (2003)
3. G. Chicco, Overview and performance assessment of the clustering methods for electrical load pattern grouping. Energy 42(1), 68–80 (2012)
4. A. Morán, J.J. Fuertes, M.A. Prada, S. Alonso, P. Barrientos, I. Díaz, in Analysis of Electricity Consumption Profiles by Means of Dimensionality Reduction Techniques. EANN International Conference on Engineering Applications of Neural Networks, London, UK, pp. 152–161 (2012)
5. L. Van der Maaten, E. Postman, J. can den Herik, Dimensionality reduction: a comparative review. J. Mach. Learn. Res. 10, 1–41 (2009)
Cited by 5 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. SAFE: Scale-Adaptive Fitness Evaluation Method for Expensive Optimization Problems;IEEE Transactions on Evolutionary Computation;2021-06
2. Hybrid Harris Hawks Optimization with Differential Evolution for Data Clustering;Metaheuristics in Machine Learning: Theory and Applications;2021
3. Hyperparameter Optimization in a Convolutional Neural Network Using Metaheuristic Algorithms;Metaheuristics in Machine Learning: Theory and Applications;2021
4. Electric Load Clustering in Smart Grid: Methodologies, Applications, and Future Trends;Journal of Modern Power Systems and Clean Energy;2021
5. Three-way unsupervised data mining for power system applications based on tensor decomposition;Electric Power Systems Research;2020-10
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