College of Mechanical Engineering, Tianjin University of Science and Technology, Tianjin,China;
Tianjin Key Laboratory of Integrated Design and On-line Monitoring for Light Industry Food Machinery and Equipment, Tianjin 300222, PR China;
College of Mechanical Engineering, Tianjin University of Science and Technology, Tianjin,China;
Tianjin Key Laboratory of Integrated Design and On-line Monitoring for Light Industry Food Machinery and Equipment, Tianjin 300222, PR China;
Tianjin Key Laboratory of Integrated Design and On-line Monitoring for Light Industry Food Machinery and Equipment, Tianjin 300222, PR China;
College of Mechanical Engineering, Tianjin University of Science and Technology, Tianjin,China;
College of Mechanical Engineering, Tianjin University of Science and Technology, Tianjin,China;
Tianjin Key Laboratory of Integrated Design and On-line Monitoring for Light Industry Food Machinery and Equipment, Tianjin 300222, PR China;
Urban buildings; Energy use; Machine learning; Comparative analysis; Cross validation;
机译:使用大时空数据的统计和机器学习方法预测城市家庭用水需求:比较研究
机译:数据驱动的城市能源模拟(DUE-S):在多尺度城市能源建模工作流中集成工程模拟和机器学习方法的框架
机译:用纹理分析,机器学习和深层学习方法检测Covid-19对Covid-19的新比较研究
机译:机器学习方法在城市建筑能耗分析中的比较研究
机译:使用机器学习算法提出一种新方法来进行,批判和验证城市规模的建筑能源模型。
机译:使用机器学习和网络分析方法对本质紊乱的蛋白质动力学进行比较探索性分析
机译:机器学习方法在城市建筑能耗分析中的比较研究