基于机器学习的回归模型，用python实现，根据每个房间的温度和湿度以及风速、能见度、露点等外部因素，预测特定时间跨度内房屋能耗

It is a machine learning based regression model implemented in python in which predicts the energy consumption of a house at a particular time span based on temperature and humidity of each rooms and other external factors such wind speed, visibility, dew point, etc.