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The disaggregation of whole-house electric load into the major end-uses using a rule-based pattern recognition algorithm.

机译：使用基于规则的模式识别算法，将整个房屋的电力负荷分解为主要的最终用途。

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作者
Farinaccio, Linda.;
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作者单位

Concordia University (Canada).;

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授予单位 Concordia University (Canada).;
学科 Civil engineering.;Artificial intelligence.;Energy.
学位 M.A.Sc.
年度 1999
页码 137 p.
总页数 137
原文格式 PDF
正文语种 eng
中图分类
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专利

1. Using a pattern recognition approach to disaggregate the total electricity consumption in a house into the major end-uses [J] . Linda Farinaccio, Radu Zmeureanu Energy and Buildings . 1999,第3期

机译：使用模式识别方法将房屋的总用电量分解为主要的最终用途
2. Automated Household Water End-Use Disaggregation through Rule-Based Methodology [J] . Mazzoni Filippo, Alvisi Stefano, Franchini Marco, Journal of Water Resources Planning and Management . 2021,第6期

机译：通过基于规则的方法，自动化的家庭用水终用分类
3. Residential end-use load shape estimation from whole-house metered data [J] . Schick I.C., Usoro P.B. IEEE Transactions on Power Systems . 1988,第3期

机译：根据全屋计量数据估算住宅最终用途负载形状
4. Automatic recognition of major end-uses in disaggregation of home energy display data [C] . Zeifman Michael, Roth Kurt, Stefan Johannes IEEE International Conference on Consumer Electronics . 2013

机译：自动识别家庭能源显示数据分类中的主要最终用途
5. Nonintrusive load disaggregation computer program to estimate the energy consumption of major end-uses in residential buildings. [D] . Marceau, Medgar Louis. 1999

机译：非侵入式负载分解计算机程序，用于估算住宅建筑物中主要最终用途的能耗。
6. Pattern Recognition of Cognitive Load Using EEG and ECG Signals [O] . Ronglong Xiong, Fanmeng Kong, Xuehong Yang, 2020

机译：使用EEG和ECG信号进行认知负荷的模式识别
7. Disaggregating categories of electrical energy end-use from whole-house hourly data [O] . Birt, Benjamin J., Newsham, Guy R., Beausoleil-Morrison, Ian, 2012

机译：从全屋小时数据中分类电能最终用途的类别
8. Measured commercial load shapes and energy-use intensities and validation of the LBL end-use disaggregation algorithm. Final report [R] . Akbari, H., Rainer, L., Heinemeier, K., 1993

机译：测量的商业负载形状和能量使用强度以及LBL最终用途分解算法的验证。总结报告

The disaggregation of whole-house electric load into the major end-uses using a rule-based pattern recognition algorithm.

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