Energy Consumption Clustering Analysis in Residential Building
Author:
Publisher
Springer Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-13-9539-0_42
Reference14 articles.
1. Rahman, A., Rahman, K.A., Leman, A.M., Mubin, M.F., Yusof, M.Z.M., Hariri, A., Salleh, M.N.M.: Energy consumption analysis based on energy efficiency approach: a case of suburban area. In: International UNIMAS STEM 9th Engineering Conference 2016, 2003 (2016). https://doi.org/10.1051/matecconf/20178702003
2. Chakraborty, A., Pfaelzer, A.: An overview of standby power management in electrical and electronic power devices and appliances to improve the overall energy efficiency in creating a green world. J. Renew. Sustain. Energy 3(2), 023112 (2011). https://doi.org/10.1063/1.3558870
3. Ghiassi, N., Mahdavi, A.: Reductive bottom-up urban energy computing supported by multivariate cluster analysis. Energy Build. 144, 372–386 (2017). https://doi.org/10.1016/j.enbuild.2017.03.004
4. Zhang, G., Wang, G.G., Farhangi, H., Palizban, A.: Data mining of smart meters for load category based disaggregation of residential power consumption. Sustain. Energy Grids Netw. 10, 92–103 (2017). https://doi.org/10.1016/j.segan.2017.03.006
5. Chévez, P., Barbero, B., Martini, I., Discoli, C.: Application of the K-Means clustering method for the detection and analysis of areas of homogeneous residential electricity consumption at the Great La Plata Region, Buenos Aires, Argentina. Sustain. Cities Soc. 32, 115–129 (2017). https://doi.org/10.1016/j.scs.2017.03.019
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. Spatial distribution of energy consumption: Integrating climate and macro-statistics for insights from clustering and sensitivity analysis;Energy and Buildings;2024-09
2. A Practical Clustering Method for Energy Consumption of Unregulated Urban Buildings;2024
3. Data Analysis of Electricity Service in Colombia’s Non-Interconnected Zones through Different Clustering Techniques;Energies;2022-10-17
4. Predicting household air conditioners’ on/off state considering occupants’ preference diversity: A study in Chongqing, China;Energy and Buildings;2021-12
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