Dynamically adjusted building energy consumption budget management target determination method and device

Abstract

The invention discloses a dynamically adjusted building energy consumption budget management target determination method and device. The method comprises the following steps: establishing and training an energy consumption prediction machine learning model; performing day-by-day energy consumption prediction in the future according to the energy consumption prediction machine learning model to obtain a day-by-day energy consumption prediction value in the future; calculating an energy consumption prediction update value in a future preset time period according to the energy consumption prediction machine learning model; calculating an energy consumption prediction correction value according to the day-by-day energy consumption prediction value in the future year and the energy consumption prediction update value in the future preset time period; and calculating an energy consumption dynamic control value in the future preset time period according to the energy consumption prediction correction value in the future preset time period. Visibly, the dynamically updated building energy consumption budget target can reflect the influence caused by dynamic parameters such as weather and pedestrian volume, that is, the input parameters of energy consumption prediction calculation more accord with the actual situation, so that the calculated energy consumption control value result more accords with the actual situation, and more reasonable energy consumption control is realized.

Description

technical field [0001] The present invention relates to the field of building energy consumption budget management, in particular to a method, device, electronic equipment, and computer-readable storage medium for determining a dynamically adjusted building energy consumption budget management target. Background technique [0002] my country's building energy consumption accounts for about 22% of the country's total energy consumption. The energy consumption is high, the energy consumption situation is complicated, and there are many influencing factors. It is necessary to improve the energy consumption management level. It is a relatively common way to control the energy use process by setting building energy consumption budget targets in advance, and the most important work is how to determine the building energy consumption budget management targets. [0003] One way in the prior art is to manually determine energy consumption quotas and budgets based on offline statistic...

AI Technical Summary

Problems solved by technology

Although this method takes into account the differential effects of various factors, when the forecast is made one year in advance, the forecast of weather data and human flow parameters is not accurate enough, and the deviation from the actual situation is large, and it cannot reflect the impact of dynamic changes in external parameters, which is not scientific and precise enough. , the level of management is limited

[0005] It can be seen that in the existing budget management of building energy consumption, the method of determining the energy consumption management target cannot reflect the influence of dynamic changes in parameters, resulting in a large deviation between the target value of energy consumption prediction and the actual situation, and the management effect is not good.

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