[:         "input": "Based on the historical load data, please predict the load consumption in the next day. The region for prediction is TAS. The start date of historical data was on 2019-6-4 that is Weekday, and it is not a public holiday. The data frequency is 30 minutes per point. Historical data covers 1 day. The date of prediction is on 2019-6-5 that is Weekday, and it is not a public holiday. Weather of the start date: the minimum temperature is 277.25; the maximum temperature is 285.07; the humidity is 66.0; the pressure is 1024.0.  Weather of the prediction date: the minimum temperature is 283.36; the maximum temperature is 288.04; the humidity is 58.0; the pressure is 1025.0. There is no suitable news for long-term effect on future load consumption.In 2019-06-04 13:14:00, the news that had the Short-Term Effect on Today's Load Consumption is that Flights have been cancelled and passengers are being warned of delays at Sydney Airport as wild weather smashes the NSW coastline. The region that may be influenced is NSW. The rationality is that Weather conditions can have an immediate impact on energy consumption as heating, cooling, and electrical systems respond to changes in demand caused by environmental changes. The cancellation of flights could also temporarily decrease energy usage at the airport and the associated support infrastructure.There is no suitable news for Real-Time Direct Effect on Today's Load Consumption.",