In the context of a pilot project, the Lugaggia Innovation Community (LIC), we address the problem of non-intrusive load monitoring for the purpose of demand side management on low voltage grids in presence of distributed power generation (photovoltaic). From the power readings of smart meters, we estimate the photovoltaic production and detect the activation of major loads (heatpumps and domestic water heaters). Experiments, conducted with real data and in silico, show that exploiting meter readings only, we can estimate PV production with MAPE ranging from 4.6% (best case) to 41.9% (worst case). Even with non negligible photovoltaic production estimation errors, the proposed method is capable of detecting the activation of heatpumps and domestic water heaters.

中文翻译：

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用于需求方管理的非侵入式负载监控

在Lugaggia创新社区（LIC）的试点项目中，我们解决了非侵入式负载监控的问题，目的是在存在分布式发电（光伏）的情况下对低压电网进行需求侧管理。根据智能电表的功率读数，我们估算光伏发电量并检测主要负载（热泵和家用热水器）的激活。使用真实数据和计算机模拟进行的实验表明，仅利用电表读数，我们可以估计MAPE的光伏产量范围为4.6％（最佳情况）至41.9％（最坏情况）。即使有不可忽略的光伏生产估计误差，所提出的方法也能够检测热泵和家用热水器的激活。