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Missing value processing method for air conditioner load prediction and air conditioner load prediction system

A technology of air-conditioning load and processing method, which is applied in the field of missing value processing method and air-conditioning load forecasting system to achieve the effects of easy management and reference, improved data input quality, and improved accuracy

Active Publication Date: 2021-02-12
深圳市得益节能科技股份有限公司
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0012] In order to solve the technical problems existing in the existing air-conditioning load forecasting, the present invention provides a missing value processing method for air-conditioning load forecasting and an air-conditioning load forecasting system communicating with BACnet using the above-mentioned missing value processing method

Method used

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  • Missing value processing method for air conditioner load prediction and air conditioner load prediction system
  • Missing value processing method for air conditioner load prediction and air conditioner load prediction system
  • Missing value processing method for air conditioner load prediction and air conditioner load prediction system

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Embodiment approach

[0160] The establishment of the air-conditioning load forecasting model adopts a support vector regression machine algorithm;

[0161] The parameter optimization of the air-conditioning load forecasting model utilizes an improved simulated annealing algorithm.

Embodiment 1

[0163] According to attached figure 1 , according to a specific embodiment of the present invention, the missing value processing method for air-conditioning load forecasting in the present invention will be described in detail.

[0164] The present invention proposes a method for processing missing values ​​for air-conditioning load forecasting, which can be implemented in the following steps:

[0165] S100: Collect real-time operating data of the air-conditioning system according to the operating data of the air-conditioning system, and establish a data set. The data includes air-conditioning load, outdoor temperature, relative humidity, solar radiation intensity, set temperature of chilled water supply, and chilled water temperature. The data recording time interval is 1 hour;

[0166] S200: Based on the data set obtained in step S100, combine each type of data in the data set with the corresponding time. In the data set, January, April, July, and October are used as the ...

Embodiment 2

[0216] Refer to attached figure 2 , according to another specific embodiment of the present invention, the BACnet communication-based air-conditioning load forecasting system of the present invention will be described in detail.

[0217] A kind of air-conditioning load forecasting system based on BACnet communication proposed by the present invention can be implemented in the following manner, including:

[0218] The data preprocessing module collects the operating data of the air conditioning system in real time, and establishes a training data set for air conditioning load forecasting, which is called by the air conditioning load forecasting module. Among them, the data set includes the current outdoor temperature, relative humidity, solar radiation intensity, chilled water supply set temperature, chilled water temperature, outdoor temperature and air conditioning load at the previous moment;

[0219] Based on the collected data, the data preprocessing module adopts the fo...

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Abstract

The invention provides a missing value processing method for air conditioner load prediction and an air conditioner load prediction system, and belongs to the technical field of air conditioner load prediction. The invention provides a missing value processing method for air conditioner load prediction and an air conditioner load prediction system which communicates with BACnet and uses the missing value processing method. According to the missing value processing method for air conditioner load prediction, based on the short periodicity of air conditioner operation parameters, missing valuesare predicted and filled up, high-quality training data are provided for establishment of an air conditioner load prediction model, and the air conditioner load prediction accuracy is improved; the air conditioner load prediction model is packaged based on the BACnet communication technology, building automatic control system management software, a DDC controller and the like can achieve rapid calling and data reading and writing of the air conditioner load prediction system through BACnet communication, and therefore the air conditioner load prediction system which is accurate and easy to apply is provided.

Description

technical field [0001] The invention relates to the technical field of air-conditioning load forecasting, in particular to a missing value processing method for air-conditioning load forecasting and an air-conditioning load forecasting system. Background technique [0002] In recent decades, with the continuous popularization of central air-conditioning systems in buildings, the proportion of central air-conditioning energy consumption in urban electricity consumption has risen rapidly. The central air-conditioning system not only brings huge pressure on energy consumption, but also exacerbates the contradiction of power distribution during daily peaks and valleys. This requires the adoption of appropriate air-conditioning control strategies to reduce power consumption. Collecting and analyzing data related to the operation of central air-conditioning systems, accurately predicting short-term air-conditioning loads, and providing support for air-conditioning operation strat...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/04G06Q50/06G06N20/10
CPCG06Q10/04G06Q50/06G06N20/10Y04S10/50
Inventor 侯国峰许伟忠杨波
Owner 深圳市得益节能科技股份有限公司
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