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机译:GMM聚类用于集中供热模式的深入识别和预测模型精度的提高
Tianjin Univ, Key Lab Efficient Utilizat Low & Medium Grade Ene, MOE, Sch Environm Sci & Engn, Tianjin 300072, Peoples R China;
Tianjin Univ, Key Lab Efficient Utilizat Low & Medium Grade Ene, MOE, Sch Environm Sci & Engn, Tianjin 300072, Peoples R China;
Tianjin Univ, Architecture Design Inst, Tianjin 300072, Peoples R China;
Tianjin Univ, Key Lab Efficient Utilizat Low & Medium Grade Ene, MOE, Sch Environm Sci & Engn, Tianjin 300072, Peoples R China;
Tianjin Univ, Key Lab Efficient Utilizat Low & Medium Grade Ene, MOE, Sch Environm Sci & Engn, Tianjin 300072, Peoples R China;
Tianjin Univ, Key Lab Efficient Utilizat Low & Medium Grade Ene, MOE, Sch Environm Sci & Engn, Tianjin 300072, Peoples R China;
Load pattern; Unsupervized clustering; Gaussian Mixture Model; Heating load prediction;
机译:GMM聚类用于加热负荷模式深入识别和预测模型精度改进区域供热系统
机译:识别基于无线开关控制系统的加热负荷预测模型精度的识别热用户行为
机译:预测区域供热系统负荷的简单模型
机译:基于数值天气预报模型的地区供热系统热负荷预测
机译:瑞典建筑的未来载荷曲线:加热负荷和区供暖之间的相互作用
机译:朝向高效建筑设计:通过多输出模型进行加热和冷却负载预测
机译:基于数值天气预报模型的地区供热系统热负荷预测