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机译:通过使用新型混合模型预测每日天然气消耗
Southwest Petr Univ, Coll Petr Engn, Chengdu 610500, Sichuan, Peoples R China|Southwest Petr Univ, CNPC Key Lab Oil & Gas Storage & Transportat, Chengdu 610500, Sichuan, Peoples R China|Univ Regina, Fac Engn & Appl Sci, Regina, SK S4S 0A2, Canada;
Southwest Petr Univ, Coll Petr Engn, Chengdu 610500, Sichuan, Peoples R China|Southwest Petr Univ, CNPC Key Lab Oil & Gas Storage & Transportat, Chengdu 610500, Sichuan, Peoples R China;
Univ Regina, Fac Engn & Appl Sci, Regina, SK S4S 0A2, Canada;
Southwest Petr Univ, Coll Petr Engn, Chengdu 610500, Sichuan, Peoples R China|Southwest Petr Univ, CNPC Key Lab Oil & Gas Storage & Transportat, Chengdu 610500, Sichuan, Peoples R China;
Univ Regina, Fac Engn & Appl Sci, Regina, SK S4S 0A2, Canada;
Singular spectrum analysis; Long short-term memory; Daily consumption forecasting; Natural gas; Deep learning; Artificial intelligence;
机译:通过应用新型混合模型的日常天然气消耗预测
机译:考虑定期变化和需求隔离的日常天然气消费模型
机译:预测每日天然气消耗用准确的白盒模型
机译:有效预测订户每日天然气消耗的通用方法
机译:设计日分析-预测极端每日天然气需求
机译:灰色模型与BP神经网络相结合的混合方法在中国乙肝预测中的应用
机译:一种新的混合模型预测年度天然气消耗