研究目标：针对不同尺度建筑能耗预测的复杂性、非线性和不确定性，本研究基于数据挖掘全过程，采用数据驱动和物理建模等方法建立多尺度、规范化的建筑能耗预测模型，突破已有能耗模型的应用瓶颈。 

研究维度：时间尺度、建筑规模尺度和应用阶段尺度。

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项目文章： 

[1] Yibo Chen, Hongwei Tan etc. Day-ahead prediction of hourly electric demand in non-stationary operated commercial buildings: a clustering-based hybrid approach. Energy and Buildings 148(2017): 228-237. 

[2] Yibo Chen, Hongwei Tan etc. Short-term prediction of electric demand in building sector via hybrid support vector regression. Applied Energy 204(2017): 1363-1374. 

[3] Yibo Chen, Hongwei Tan etc. target-oriented benchmarking of regional building energy consumption based on the Lorenz curve. Procedia Engineering 205(2017): 879-886. 

[4] 陈义波，谭洪卫等.杭州市公共建筑能耗定额的研究[J]. 建筑科学，2017年12月刊. 

[5] Yibo Chen, Hongwei Tan etc. Resilient regional energy benchmarking of classified public buildings. International Conference on Applied Energy 2017. UK.