rlawltjd/Ventilation_time_prediction

该数据集基于过去2小时及当前时刻的数据，用于预测未来3小时后的PM2.5（细颗粒物）浓度。数据集中的因变量包括PM2.5浓度、二氧化硫、一氧化碳、臭氧、二氧化氮、PM10、风速、气压、气温、湿度、降雨量、能见度、交通流量以及经过正弦和余弦变换的风向。自变量是未来1小时、2小时和3小时后的PM2.5浓度。

The dataset is based on data from the past 2 hours and the current moment, designed to predict the PM2.5 (fine particulate matter) concentration 3 hours into the future. The dependent variables in the dataset include PM2.5 concentration, sulfur dioxide, carbon monoxide, ozone, nitrogen dioxide, PM10, wind speed, atmospheric pressure, air temperature, humidity, rainfall, visibility, traffic volume, and wind direction transformed by sine and cosine functions. The independent variables are the PM2.5 concentrations 1 hour, 2 hours, and 3 hours into the future.