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Predicting Building Energy Consumption using Engineering and Data Driven Approaches: A Review

机译：使用工程和数据驱动方法预测建筑能源消耗：综述

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Aulon Shabani; Orion Zavalani;
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1. A review of data-driven approaches for prediction and classification of building energy consumption [J] . Wei Yixuan, Zhang Xingxing, Shi Yong, Renewable & Sustainable Energy Reviews . 2018,第pta1期

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2. Do residential building energy efficiency standards reduce energy consumption in China? - A data-driven method to validate the actual performance of building energy efficiency standards [J] . Wang Xia, Feng Wei, Cai Weiguang, Energy Policy . 2019,第AUGa期

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3. A state of the art review on the prediction of building energy consumption using data-driven technique and evolutionary algorithms [J] . Li Kangji, Xue Wenping, Tan Gang, Building Services Engineering Research & Technology . 2020,第1期

机译：使用数据驱动技术和进化算法预测建筑能耗的最新技术回顾
4. Data driven approaches for prediction of building energy consumption at urban level [C] . Giovanni Tardioli, Ruth Kerrigan, Mike Oates International Building Physics Conference . 2016

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5. Data-Driven Whole Building Energy Forecasting Model for Data Predictive Control [D] . Zhang, Liang. 2018

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6. Data on energy consumption and Nearly zero energy buildings (NZEBs) in Europe [O] . Delia DAgostino, Livio Mazzarella 2018

机译：欧洲的能耗和近零能耗建筑（NZEB）数据
7. Data Driven Approaches for Prediction of Building Energy Consumption at Urban Level [O] . Tardioli Giovanni, Kerrigan Ruth, Oates Mike, 2015

机译：数据驱动的城市建筑能耗预测方法

Predicting Building Energy Consumption using Engineering and Data Driven Approaches: A Review

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