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Online end-use energy disaggregation via jump linear models

机译:通过跳跃线性模型在线进行最终用途能源分解

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This paper presents two iterative algorithms for non-intrusive appliance load monitoring, which aims to decompose the aggregate power consumption only measured at the household level into the contributions of the individual electric appliances. The approaches are based on modelling the total power consumption as a combination of jump linear sub-models, each of them describing the behaviour of the individual appliance. Dynamic-programming and multi-model Kalman filtering techniques are used to reconstruct the power consumptions at the single-appliance level from the aggregate power in an iterative way.
机译:本文提出了两种用于非侵入式设备负荷监控的迭代算法,其目的是将仅在家庭一级测得的总功耗分解为单个电器的贡献。这些方法基于将总功耗建模为跳跃线性子模型的组合,每个子模型都描述了单个设备的行为。动态编程和多模型卡尔曼滤波技术用于以迭代方式从总功率中重建单个设备级别的功耗。

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