Research on high and low temperature forecast technology for the next 24 hours based on GRU
Temperature is an important meteorological element related to people's livelihood and produc-tion,and the highest and lowest temperature among them attract people's attention,but the relevant re-search is rather little.Based on GRU model,this paper proposes an AI prediction algorithm for high and low temperature in the next 24 hours,and five data processing methods are designed based on the missing data.AI training data sets are made using live and multiple mode data,taking the past 72 hours of live data and the forecast data of the next 24 hours as input.The experiment shows that this method can effectively reduce the prediction error of high and low temperatures.The prediction error of the highest temperature is 1.59°G,and the prediction error of the lowest temperature is 1.19℃.The prediction accuracy is higher than that of the EC model and the forecasters.In particular,the prediction accuracy of the lowest tempera-ture is significantly improved,which has a good guiding significance for the forecasters.
deep learningGRU modelartificial intelligencehigh and low temperature forecastdata processing
万方数据
维普
