GBDT-based cold and heat load prediction method of LightGBM model

A forecasting method and heat load technology, applied in forecasting, calculation models, instruments, etc., can solve problems such as powerlessness

Pending Publication Date: 2020-04-24
上海航天智慧能源技术有限公司
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Problems solved by technology

When we want to find similar laws from multiple buildings of the same type, like many office buildings and many hospital

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  • GBDT-based cold and heat load prediction method of LightGBM model
  • GBDT-based cold and heat load prediction method of LightGBM model
  • GBDT-based cold and heat load prediction method of LightGBM model

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Embodiment Construction

[0040] The preferred embodiments of the present invention will be described below in conjunction with the accompanying drawings. It should be understood that the preferred embodiments described here are only used to illustrate and explain the present invention, and are not intended to limit the present invention.

[0041] The embodiment of the present invention provides a cooling and heating load forecasting method based on GBDT's LightGBM model, such as figure 1 As shown, Step 1: Obtain several architectural cases;

[0042] Step 2: Generate model data through the building case through the first model; model data includes: characteristic variable data and cooling and heating load data;

[0043] Step 3: Preprocess the model data, split the training set and test set, and train and model the training set based on the LightGBM model to train and generate a cooling and heating load forecasting model;

[0044] Step 4: Use the data of the test set to test the cooling and heating loa...

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Abstract

The invention provides a GBDT-based cold and heat load prediction method of a LightGBM model. The method comprises the steps of 1, obtaining a plurality of building cases; 2, generating model data from the building case through a first model, wherein the model data comprises characteristic variable data and cold and heat load data; 3, preprocessing the model data, splitting a training set and a test set, and performing training modeling on the training set based on a LightGBM model to train and generate a cold and heat load prediction model; 4, testing the cold and heat load prediction model by adopting the data of the test set; 5, storing the cold and heat load prediction model passing the test. According to the GBDT-based cold and heat load prediction method for the LightGBM model, the load prediction regression model is constructed based on the LightGBM tree model of the boosting thought, and the cold and heat loads of different building structures can be accurately predicted aftertraining is carried out on a training set with a large amount of data.

Description

technical field [0001] The invention relates to the technical field of load forecasting, in particular to a cooling and heating load forecasting method based on the LightGBM model of GBDT. Background technique [0002] The current load forecasting methods mainly focus on single buildings or areas, through the collection and processing of existing data, to predict the future power load, cooling load and heating load. The time span of forecasting can also be divided into short-term forecasting: a few hours or a day or a week; medium-term forecasting: one month to one quarter; long-term forecasting: one year or more. Due to energy saving and emission reduction and planning area and building cooling and heating load, it is even used as a reference in building type selection. Using various forecasting methods to accurately predict the cooling and heating loads in a building or region is crucial, which enables those who design building electromechanical systems to select equipmen...

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Application Information

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IPC IPC(8): G06Q10/04G06Q50/06G06N20/00
CPCG06Q10/04G06Q50/06G06N20/00
Inventor 唐继旭冯毅许鹏朱国皓徐栎亚李和颖陈智博陈永保
Owner 上海航天智慧能源技术有限公司
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