Parallel cold load prediction method based on building space unit

Abstract

The invention discloses a parallel cold load prediction method based on a building space unit, and the method comprises the steps: completing the division of the building space unit according to a target building plane graph and a building space layout; designing a DCN topological structure of a distributed controller of the building space unit according to the division basis, and completing the installation of a DCN; establishing an improved adaptive learning rate deep belief network-partial least square method ADBN-PLSR cold load prediction model; enabling each DCN to download the predictionmodel; enabling a user to initiate a prediction instruction through any DCN, and enabling the DCN to execute an instruction task and transmit the instruction to the whole DCN network based on a spanning tree and a topological structure; enabling the DCNs to independently complete prediction of a controlled area in parallel, and finally acquiring a cold load prediction result of the whole buildingat an initiating node through a prediction result summation instruction. According to the space unit independent prediction method, the fluctuation characteristics of the building cold load are highly extracted, and the problems of low prediction precision and the like caused by the characteristics of high dimension, nonlinear dynamics and the like of cold load data are solved.

Description

technical field [0001] The invention belongs to the technical field of building cooling load forecasting, and in particular relates to a parallel cooling load forecasting method based on building space units. Background technique [0002] Energy problems are becoming more and more serious, and energy conservation and emission reduction work has become the focus of various countries. Air conditioners are one of the most common energy-consuming equipment in buildings, accounting for about 60% of total power and energy consumption. Aiming at the problem of energy saving and consumption reduction of air conditioners, ice storage energy storage technology has been popularized and used. The ice-storage air-conditioning system cools and stores ice at night when the power grid is low. The next day, according to the time-of-use electricity price and cooling load demand, the cooling capacity distribution of the chiller and ice tank is reasonably planned. [0003] Therefore, accurate ...

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Problems solved by technology

[0004] The technical problem to be solved by the present invention is to provide a parallel cooling load prediction method based on building space units in order to solve the problem of high-dimensional, nonlinear and dynamic load data in the prior art. The prediction model cannot extract the characteristics of building cooling load well and improve the prediction accuracy

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