Residential electricity energy efficiency evaluation method based on data driving
It is a data-driven technology for residential electricity consumption, which is applied in data processing applications, special data processing applications, and visual data mining. The effect of improving accuracy and good data feature memory ability
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[0045] In order to make the purpose, technical solution and advantages of the present invention clearer, the technical solution of the present invention will be further described below.
[0046] Such as image 3 As shown, the present invention proposes a data-driven residential electricity energy efficiency evaluation method, including the following steps:
[0047] Step 1: Detect and count relevant data; such as figure 1 As shown, the data sources of user energy consumption behavior evaluation based on big data in the present invention are as follows:
[0048] (1) Resident users transmit power data through a two-way interactive intelligent visual power display;
[0049] (2) The sensors (light, decibel, humidity, temperature) pre-installed on each floor of the resident users upload data in real time;
[0050] (3) Data docking with external meteorological databases to retrieve relevant data;
[0051] (4) Conduct family data research on resident users.
[0052] Step 2: If ...
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