[:         "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 2019-7-9 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 2019-7-10 that is Weekday, and it is not a public holiday. Weather of the start date: the minimum temperature is 281.5; the maximum temperature is 288.41; the humidity is 75.0; the pressure is 1003.0.  Weather of the prediction date: the minimum temperature is 280.73; the maximum temperature is 285.79; the humidity is 70.0; the pressure is 988.0. There is no suitable news for long-term effect on future load consumption.In 2019-07-09 14:58:00, the news that had the Short-Term Effect on Today's Load Consumption is that One of the most 'significant' storms so far this winter is about to hit large parts of SA, bringing destructive winds, heavy rain, hail, and giant swells \u2014 it\u2019s all coming this afternoon. The region that may be influenced is SA. The rationality is that Severe weather events often lead to instant increases in load consumption due to heating or cooling needs, lighting during power outages, and the use of other electric devices for emergency management.In 2019-07-09 12:58:00, the news that had the Real-Time Direct Effect on Today's Load Consumption is that An explosion at Victoria's largest gas-fired power station could hit the state's electricity supply, with estimates the damage will take up to six months to repair. The region that may be influenced is VIC. The rationality is that An explosion at a key power station directly affects the electricity supply chain, likely leading to real-time disruptions in load consumption due to immediate outages and triggering of emergency response measures.",