Prediction and Management of Building Energy Consumption Based on Building Environment Simulation Design Platform DeST and Meteorological Data Analysis Algorithm

• DOI: 10.13052/spee1048-5236.4328
• Publication Date: 2024-01-15T02:16:33Z
• Authors: Chaoqin Bai; Junrui Liu
• Keywords: Carbon neutrality; Normalization; Consumption

Currently, the carbon emissions of building energy consumption account for a significant portion all emissions. How to reduce achieve neutrality is an important current research direction. Therefore this builds predictive algorithm model analyzing data meteorological buildings using DeST platform saving and emission reduction neutrality. The new uses Internet Things cloud technology build simulation platform, support vector machine in analysis vectorize data, which can normalization processing data. By prediction at next moment be achieved. experimental results show that precision accuracy are higher than genetic 1 0.15 respectively, 0.6 0.07 clustering respectively. Therefore, applying significantly improve algorithm.