[:         "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 2019-6-14 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 2019-6-15 that is Weekend, and it is not a public holiday. Weather of the start date: the minimum temperature is 278.44; the maximum temperature is 284.94; the humidity is 57.0; the pressure is 1017.0.  Weather of the prediction date: the minimum temperature is 276.55; the maximum temperature is 284.57; the humidity is 87.0; the pressure is 1021.0. There is no suitable news for long-term effect on future load consumption.In 2019-06-14 22:56:00, the news that had the Short-Term Effect on Today's Load Consumption is that Thousands of football fans were stranded for hours on a wintry Melbourne night after a trespasser brought trains to a halt at the city\u2019s major rail stations. The region that may be influenced is VIC. The rationality is that The stranding of football fans due to disruption of train services could temporarily increase energy consumption, as the stranded individuals may require alternative methods of transportation, such as buses or trams that are electrically powered, thus causing an immediate but short-lived spike in energy consumption.There is no suitable news for Real-Time Direct Effect on Today's Load Consumption.",