未知历史能耗条件下某高层建筑的预测探索

Prediction of a High-rise Building with Unknown Historical Energy Consumption

未知历史能耗条件下的建筑能耗预测,一直是建筑能耗模拟行业长期未解决的问题。设计阶段通过建筑模拟软件预测的建筑能耗,在建筑实际运行情况中往往与理论建筑能耗计算相去甚远。目前,大数据分析以及人工智能都是依据本建筑的历史能耗数据的预测分析,如何在未知历史能耗数据条件下进行该建筑能耗预测,关键还是结合建筑特点的数据探索和建筑特征向量相关性的选择。

Building energy consumption prediction under the condition of unknown historical energy consumption has been a long-term unsolved problem in building energy consumption simulation industry.The building energy consumption predicted by building simulation software in the design stage is often far from the theoretical building energy consumption calculation in the actual operation of the building.At present.big data analysis and artificial intelligence are based on the historical energy consumption data of the building.How to predict the building energy consumption under the condition of unknown historical energy consumption data is the key to explore the data combined with the characteristics of the building and select the correlation of the building feature vector.