机译:数据驱动的模型预测控制,使用随机森林进行建筑能源优化和气候控制
Department of Information Engineering, Computer Science and Mathematics, Università degli Studi dell’Aquila,Department of Electrical and Systems Engineering, University of Pennsylvania;
Department of Electrical and Systems Engineering, University of Pennsylvania;
Department of Industrial and Information Engineering and Economics, Università degli Studi dell’Aquila;
Department of Industrial and Information Engineering and Economics, Università degli Studi dell’Aquila;
Department of Information Engineering, Computer Science and Mathematics, Università degli Studi dell’Aquila;
Department of Electrical and Systems Engineering, University of Pennsylvania;
Building control; Energy optimization; Demand response; Machine learning; Random forests; Receding horizon control;
机译:数据驱动的建筑物气候控制模型预测控制:不同建筑物的三个案例研究
机译:建筑气候控制的数据驱动模型预测控制:不同建筑的三种案例研究
机译:使用模型预测控制和天气预报进行节能建筑气候控制
机译:建筑气候控制和能源优化的混合预测控制
机译:数据驱动的建筑物整体数据预测控制模型
机译:基于模型预测控制的自动水下航行器深度跟踪控制能耗优化
机译:采用随机林的数据驱动模型预测控制,用于建立能量优化和气候控制