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Operation stage building short-term load prediction method and device, equipment and medium

A short-term load forecasting and operating stage technology, applied in forecasting, neural learning methods, biological neural network models, etc., can solve problems such as not taking into account the operating stage, and the algorithm's operability is not strong

Pending Publication Date: 2021-02-12
TONGJI UNIV ARCHITECTURAL DESIGN INST GRP CO LTD
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Problems solved by technology

[0003] The traditional short-term load forecasting for building HVAC systems is usually based on the optimization of the BP neural network algorithm, without considering the problems in the actual operation stage, so that the operability of the optimized algorithm is not strong

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  • Operation stage building short-term load prediction method and device, equipment and medium
  • Operation stage building short-term load prediction method and device, equipment and medium
  • Operation stage building short-term load prediction method and device, equipment and medium

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Embodiment Construction

[0043] In order to make the purpose, technical solution and advantages of the present application clearer, the present application will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present application, and are not intended to limit the present application.

[0044] The short-term building load forecasting method in the operation stage provided by this application can be applied to such as figure 1 shown in the application environment. Wherein, the server 102 is connected to at least one of the air conditioning system 104, the temperature collection system 106, the heat disturbance collection system 108 and the weather state collection system 110 through the network, wherein figure 1 For convenience, the server 102 is connected to the air conditioning system 104 , the temperature collection system 106 , the heat disturbance co...

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Abstract

The invention relates to an operation stage building short-term load prediction method and device, equipment and a medium. The method comprises the steps of obtaining model input data of a current operation stage, wherein the model input data at least comprises solar radiation calculated according to a current weather state; and inputting the model input data into a model obtained by pre-trainingso as to predict the model input data through the model to obtain a corresponding current building short-term load. By adopting the method, the operability of predicting the short-term load of the building can be improved.

Description

technical field [0001] The present application relates to the technical field of building heating, ventilating and air conditioning, and in particular to a method, device, equipment and medium for short-term load forecasting of buildings during the operation phase. Background technique [0002] At present, building heating, ventilation and air-conditioning systems (HVAC) consume a lot of energy. Through accurate prediction of cooling load, it can help operation and maintenance personnel to understand the energy demand of buildings in advance, and can guide the regulation and operation of units to achieve optimal operation of economic benefits. the goal of. [0003] Traditional short-term load forecasting for building HVAC systems is usually based on the optimization of the BP neural network algorithm, which does not take into account the problems in the actual operation stage, so that the operability of the optimized algorithm is not strong. Contents of the invention [0...

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Application Information

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IPC IPC(8): G06Q10/04G06N3/04G06N3/08G06Q50/08
CPCG06Q10/04G06N3/084G06Q50/08G06N3/045Y04S10/50
Inventor 王健鞠辰徐晓燕王颖
Owner TONGJI UNIV ARCHITECTURAL DESIGN INST GRP CO LTD
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