Nonintrusive load monitoring for diagnostics of residential energy use

随着能源需求的增加，消耗能源的成本也在增加。这一趋势正在加速， 能源生产能力达到峰值。客户越来越想知道如何 节约能源，降低能源成本。他们也有兴趣了解为什么他们 电费波动。能源账单的波动会促使客户打电话给他们的电力公司询问他们的 这给公用事业公司的客户服务部门带来了额外的压力。 电力公司几乎没有什么工具可以帮助诊断客户的用电情况： 量、天气和其他一些当地环境条件。然而，目前还没有办法 确定房子里有什么负载使客户受益的有用信息 了解他/她的用电习惯。客户可以利用智能和知情的能源 一旦他们能够理解他们如何消耗电力，他们就可以做出节能选择。拟议的研究项目 汇集了来自SFU和BCHydro的研究人员，目标是开发计算方法， 分析智能电表数据，帮助建模、理解并告知客户其电力状况 消费习惯。

As the demand for energy increases, so does the cost of consuming that energy. This trend is accelerating as the capacity for energy production peaks. Customers are becoming increasingly interested in knowing how to conserve energy, as well as reducing their energy cost. They are also interested in understanding why their power bill fluctuates. Energy bill fluctuation can prompt customers to call their power utility asking about their bill, which puts additional pressure on the utility company's customer service department. Power utilities have few tools available to help diagnose a customer's power usage: the aggregate billing amount, the weather, and some other local environmental conditions. However, there is currently no way to determine what loads may have been running in a house ? useful information that would benefit the customer in understanding his/her power consumption habits. Customers can make smart and informed energy conservation choices once they are able to understand how they consume power. The proposed research project brings together researchers from SFU and BCHydro with the goal of developing computational methods to analyze smart meter data that will help model, understand, and inform customers about their power consumption habits.