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首页> 外文会议>Mediterranean Conference on Control and Automation >The Development of Cloud-based Building Automation System and Creating Predictive Models of HVAC System with Machine Learning
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The Development of Cloud-based Building Automation System and Creating Predictive Models of HVAC System with Machine Learning

机译：基于云的楼宇自动化系统的开发与机器学习中HVAC系统创建预测模型

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A cloud-based building automation system was developed, and implemented in an actual building featuring a thermo active building system, ground source heat pump system, and battery. Based on the operation and measurement data stored by this system, a predictive model was created using a neural network. In the hyper-parameters of the neural network, the number of hidden layers, nodes in each hidden layer, and history levels of the input data were optimized by particle swarm optimization with the mutation method. Models that predict future behavior of heating, ventilation, and air-conditioning system were evaluated according to normalized mean absolute error, with the best model obtaining 0.0796.
机译：开发了一种基于云的楼宇自动化系统，并在实际建筑中实施，具有Thermo主动建筑系统，地源热泵系统和电池。 基于该系统存储的操作和测量数据，使用神经网络创建预测模型。 在神经网络的超参数中，隐藏层的数量，每个隐藏层中的节点以及输入数据的历史级别通过粒子群优化与突变方法进行了优化。 根据标准化平均绝对误差评估预测加热，通风和空调系统的未来行为的模型，最佳型号获得0.0796。

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