[:         "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 2020-1-27 that is Weekday, and it is a public holiday: Australia Day (Observed). The data frequency is 30 minutes per point. Historical data covers 1 day. The date of prediction is on 2020-1-28 that is Weekday, and it is not a public holiday. Weather of the start date: the minimum temperature is 287.9; the maximum temperature is 295.51; the humidity is 51.0; the pressure is 1011.0.  Weather of the prediction date: the minimum temperature is 288.24; the maximum temperature is 299.11; the humidity is 56.0; the pressure is 1016.0. There is no suitable news for long-term effect on future load consumption.In 2020-01-27 12:16:00, the news that had the Short-Term Effect on Today's Load Consumption is that Every southern mainland capital could hit 40C+ this week as a blistering heatwave barrels across the country. But further north, floods are the issue. The region that may be influenced is Australia. The rationality is that Extreme weather events, like heatwaves, lead to increased use of air conditioning and refrigeration, thus elevating the power load consumption in the short term as people try to keep cool.In 2020-01-27 00:07:00, the news that had the Real-Time Direct Effect on Today's Load Consumption is that Trams had to be shut down on Sunday after a Sydney CBD tram was forced completely off its tracks when a car smashed into it. The region that may be influenced is NSW. The rationality is that Transportation accidents that disrupt public transit can cause immediate and direct effects on load consumption as they may necessitate increased utilization of alternative transportation methods, which can change the power usage profile in real-time.",