Heat supply system load prediction method, device and system based on building classification
A technology of load forecasting and heating system, applied in forecasting, instrument, character and pattern recognition, etc., can solve problems such as supply and demand mismatch, large energy waste, thermal inertia, etc., to improve user experience and reduce energy waste.
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[0021] Example one
[0022] Such as figure 1 As shown, the present invention includes the following steps:
[0023] Step 1: Obtain historical measurement data of variables related to the heating system load. Obtain historical measurement data of various variables that may affect the load of the heating system, denoted as X r ={x 1 (k) r ,x 2 (k) r ,...,x n (k) r }, where x i (k) r (i=1, 2,...n) is the unprocessed historical measurement data sequence of the i-th variable at time k. The variables include system variables directly monitored by the heating system and disturbance variables from the outside. System variables monitored by the heating system, for example: primary water supply temperature T 1s , A return water temperature T 1r , An instantaneous flow M 1 , Heating power station heating load Q 1 Etc.; disturbance variable from outside: outdoor temperature T out .
[0024] Step 2: Preprocessing the collected historical data.
[0025] 1) Duplicate and missing values are proc...
Example Embodiment
[0037] Example two
[0038] Based on the same inventive concept as the first embodiment, the present invention also provides a heating system load forecasting device, such as Figure 4 As shown, it includes: a data acquisition unit, used to obtain historical measurement data of variables that affect the load of the heating system; a preprocessing unit, used to preprocess the historical measurement data; an analysis unit, used to perform analysis on different building types The thermal power station is used for thermal analysis to determine the input factors of the thermal power station load prediction model; the model training unit uses the pre-processed historical data corresponding to the input factors to train the thermal power station load prediction model; the prediction unit uses the thermal power station The load forecasting model predicts the load of the corresponding thermal station.
Example Embodiment
[0039] Example three
[0040] Such as image 3 As shown, the present invention also provides a heating system load forecasting system based on building classification, including a database and a load forecasting unit, the database storing real-time measurement data of the heating system; the load forecasting unit from the database The data is extracted and processed according to the method in the first embodiment, so as to realize the prediction of the heating load of the corresponding building type thermal power station in the database.
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