Prediction method of building energy consumption in festivals and holidays based on neural network

Abstract

The invention relates to a prediction method for building energy consumption based on a neural network. The method mainly comprises the following steps of: step 1, collecting energy consumption data of a building and taking the energy consumption data as sample data, carrying out normalization on the sample data, and enabling range of the sample data to be [0,1]; step 2, carrying out neural network simulation, and establishing a first neural network model for predicting the building energy consumption; step 3, predicting the building energy consumption by the first neural network model, and counting prediction error of the building energy consumption under the conditions of festivals and holidays; step 4, carrying out neural network simulation again, and establishing a second neural network model for predicting the a building energy consumption modification value under the conditions of the festivals and the holidays; and step 5, respectively counting predicted values of the building energy consumption under the conditions of the festivals and the holidays as well as work days. The prediction method of the building energy consumption in the festivals and the holidays based on the neural network has the beneficial effects that due to the adoption of the technical scheme, the prediction precision of the building energy consumption can be greatly improved, particularly the prediction precision under the conditions of the festivals and the holidays can be greatly improved, and the prediction method has important significance in energy resource monitoring of buildings.

Description

technical field [0001] The invention relates to a method for predicting building energy consumption, which belongs to the field of building energy consumption prediction, in particular to a neural network-based method for predicting building energy consumption. Background technique [0002] With the development of my country's economy, the problem of high energy consumption in office buildings and large public buildings has become increasingly prominent. Doing a good job in their energy conservation management is of great significance to the realization of the "Twelfth Five-Year Plan" building energy conservation planning goals. Building energy conservation is the frontier and research hotspot of today's urban construction and social development. Comprehensive analysis and evaluation of the current energy consumption of buildings is the premise and basis for building energy conservation, and the establishment of a prediction model that reflects changes in energy consumption i...

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Problems solved by technology

[0004] At present, building energy consumption prediction is generally aimed at the energy consumption prediction of normal days, and the factors considered are basically some factors of the building itself. Few of the plans take into account the impact of external weather factors on building energy consumption. However, the factor of holidays has not been taken into account, which results in a high prediction accuracy of energy consumption in normal days, but a relatively large error value in the prediction of energy consumption in holidays.

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