Method and system for online prediction on cooling load of central air conditioner in marketplace buildings

A technology of central air conditioning and forecasting method, applied in special data processing applications, instruments, electrical digital data processing, etc., can solve the problems of increased model training time and difficulty in meeting real-time requirements.
CN102779228AActive Publication Date: 2012-11-14SOUTH CHINA UNIV OF TECH
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
SOUTH CHINA UNIV OF TECH
Publication Date
2012-11-14

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Abstract

The invention discloses a method for online prediction on cooling load of a central air conditioner in marketplace buildings. The method comprises the following steps of: continuously acquiring various parameters; when the quantity of acquired data meets the needs, respectively building prediction models of the air conditioner cooling load and all input parameter values in three types including working day, weekend and festival and holiday by using an Online SVR (Support Vector Regression) method; then, predicting the input parameter value of 24 hours of that very day according to the historical data of outdoor meteorological parameter and air conditioner operation input parameter; finally, predicting the air conditioner cooling load within 24 hours of that very day by using the air conditioner load prediction model of corresponding date type and taking the predicted value of each input parameter within 24 hours of that very day as the input, and compensating by a residual error sequence of the actual value and the predicted value of the air conditioner cooling load in the previous day of the corresponding date type; and simultaneously, dynamically correcting the prediction model of the air conditioner cooling load with online addition of new samples. The method provided by the invention effectively realizes the dynamic and accurate prediction on the air conditioner cooling load.
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Description

technical field

[0001] The invention relates to an online central air-conditioning cooling load prediction method, in particular to a method and system for dynamically predicting the central air-conditioning cooling load of a shopping mall building based on online monitoring of passenger flow. Background technique

[0002] The central air-conditioning system is a major energy consumer in shopping malls. Some large and medium-sized shopping malls with high energy consumption account for as much as 70% of the total building energy consumption. The energy consumption of air-conditioning directly affects the operating costs of shopping malls. Moreover, the central air-conditioning system has the characteristics of non-linearity, large time lag, and large inertia. Conventional control technology is likely to cause large temperature fluctuations in the air-conditioning area of ​​commercial buildings, which affects the comfort of the human body. higher requirements. The online loa...

Claims

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