Visual prediction method and system for building energy consumption

Abstract

The invention relates to a visual prediction method for building energy consumption, which comprises the following steps: 1) obtaining original building energy consumption data and performing data preprocessing, screening factors affecting energy consumption prediction; 2) combining the affecting factors to select an optimization model and using the optimization model to predict the consumption situation of the building energy; 3) based on a GIS system, combining energy consumption data, the predication data and the geographic data to construct a building energy consumption information visualinteractive interface; 4) using the building energy consumption information visual interactive interface for building energy consumption analysis and development of energy saving plans. Compared withthe prior art, the visual prediction method for building energy consumption in the invention has the advantages of predictive visualization, accurate prediction, and comparison of energy consumption of different buildings under the same energy type.

Description

technical field [0001] The invention relates to the technical field of building energy conservation, in particular to a method and system for visually predicting building energy consumption. Background technique [0002] With the rapid development of the economy, the consumption of living and production energy is increasing year by year. The contradiction between economic development and energy demand, the reality of energy shortage and low energy utilization rate urgently need scientific, perfect and reasonable solutions. At the same time, energy consumption is the main cause of environmental pollution. It is particularly important to pay attention to the environmental impact caused by energy consumption and realize the coordinated development of energy, environment and social economy. Real-time monitoring, analysis, forecasting and visualization of energy use is helpful for planning and decision-making of building energy use, it can provide useful information about build...

AI Technical Summary

Problems solved by technology

Most of the existing energy consumption prediction methods, such as time series models and regression analysis methods, incorporate many factors that affect energy consumption into the model, but the accuracy is not enough, and visualization cannot be realized, which is not convenient for managers and users to monitor the energy consumption of buildings. Comparative analysis and formulation of convenient energy-saving solutions

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