Jump model learning and filtering for energy end-use disaggregation

V. Breschi; D. Piga; A. Bemporad

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Jump model learning and filtering for energy end-use disaggregation

机译：跳跃模型学习和过滤以实现能源最终用途分解

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Energy disaggregation aims at reconstructing the power consumed by each electric appliance available in a household from the aggregate power readings collected by a single-point smart meter. With the ultimate goal of fully automatizing this procedure, we first estimate a set of jump models, each of them describing the consumption behaviour of each electric appliance. By representing the total power consumed at the household level as the sum of the outputs of the estimated jump models, a filtering algorithm, based on dynamic programming, is then employed to reconstruct, in an iterative way, the power consumption at an individual appliance level.

机译：能量分解的目的是根据单点智能电表收集的总功率读数来重建家庭中每个可用电器的功率消耗。为了使此过程完全自动化，我们首先估算了一组跳跃模型，每个模型都描述了每种电器的消耗行为。通过将家庭级别的总功耗表示为估计的跳跃模型的输出之和，然后采用基于动态编程的滤波算法，以迭代的方式重建单个设备级别的功耗。

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《IFAC PapersOnLine》 |2018年第15期|共6页
作者
V. Breschi; D. Piga; A. Bemporad;
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中图分类自动化技术、计算机技术;
关键词
Jump modelsFilteringEnergy disaggregationNon-intrusive appliance load monitoringRecursive estimate;

机译：跳跃模型过滤能量分解非侵入式设备负载监控递归估计;

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1. Online end-use energy disaggregation via jump linear models [J] . Breschi Valentina, Piga Dario, Bemporad Alberto Control Engineering Practice . 2019,第AUGa期

机译：通过跳跃线性模型在线进行最终用途能源分解
2. Online end-use energy disaggregation via jump linear models [J] . Breschi Valentina, Piga Dario, Bemporad Alberto Control Engineering Practice . 2019,第Auga期

机译：在线最终使用能源通过跳跃线性模型进行分类
3. HVAC terminal hourly end-use disaggregation in commercial buildings with Fourier series model [J] . Ji Ying, Xu Peng, Ye Yunyang Energy and Buildings . 2015,第juna期

机译：傅里叶级数模型在商业建筑中的HVAC终端每小时最终用途分解
4. Reducing the Intrusiveness of Energy and Water End-Use Disaggregation via Social Media and Users Interactions [C] . Matteo Giuliani, Jacopo Mossina International AAAI Conference on Web and Social Media Workshops . 2016

机译：通过社交媒体和用户互动降低能量和水最终使用分列的侵入性
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. Genomic Selection for End-Use Quality and Processing Traits in Soft White Winter Wheat Breeding Program with Machine and Deep Learning Models [O] . Karansher Singh Sandhu, Meriem Aoun, Craig F. Morris, 2021

机译：具有机器和深度学习模型的软白冬小麦养殖计划中最终使用质量和加工特质的基因组选择
7. DEVELOPMENT OF CITY SCALE RESIDENTIAL ENERGY END-USE MODEL INCLUDING HEAT LOAD CALCULATION : Development and application of city scale residential energy end-use model by considering with various household categories Part 1 [O] . Takuro FUJII, Yoshiyuki SHIMODA, Takao MORIKAWA, 2005

机译：城市规模住宅能源最终用型的开发，包括热负荷计算：通过考虑各种家庭类别第1部分，开发和应用城市规模住宅能源最终利用模型
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

Jump model learning and filtering for energy end-use disaggregation

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