[:         "input": "Based on the historical load data, please predict the load consumption in the next day. The region for prediction is SA. The start date of historical data was on 2019-2-28 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 2019-3-1 that is Weekday, and it is not a public holiday. Weather of the start date: the minimum temperature is 295.97; the maximum temperature is 312.4; the humidity is 22.75; the pressure is 1015.75.  Weather of the prediction date: the minimum temperature is 301.91; the maximum temperature is 312.17; the humidity is 15.25; the pressure is 1014.75. There is no suitable news for long-term effect on future load consumption.In 2019-02-28 14:03:00, the news that had the Short-Term Effect on Today's Load Consumption is that Firefighters have stopped a bushfire that raged out of control for several hours this afternoon, sparking warnings to locals that it was too late to leave. The region that may be influenced is TAS. The rationality is that The news of firefighters stopping a bushfire suggests an immediate reduction in the crisis response operations that can involve significant energy use. Thus, it may contribute to a small decrease in load consumption as those emergency operations power down.In 2019-02-28 00:30:00, the news that had the Real-Time Direct Effect on Today's Load Consumption is that South Australia has recorded its hottest summer on record, with seasonal temperatures more than 3C above average. The region that may be influenced is SA. The rationality is that Extreme heat typically results in increased use of air conditioning and cooling systems. Given that South Australia has experienced its hottest summer on record, it can be expected that there is a real-time elevated demand for electricity due to the hotter temperatures, especially during peak times of day.",