[:         "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 2019-2-7 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 2019-2-8 that is Weekday, and it is not a public holiday. Weather of the start date: the minimum temperature is 289.52; the maximum temperature is 294.54; the humidity is 60.0; the pressure is 1000.0.  Weather of the prediction date: the minimum temperature is 285.55; the maximum temperature is 289.97; the humidity is 67.0; the pressure is 990.0. There is no suitable news for long-term effect on future load consumption.In 2019-02-07 17:37:00, the news that had the Short-Term Effect on Today's Load Consumption is that Victoria is bracing for a repeat of yesterday\u2019s wild weather that cut power, prompted hundreds of calls for help and sparked a house fire. The region that may be influenced is VIC. The rationality is that Severe weather events often result in increased short-term energy consumption due to heightened use of heating/cooling systems and emergency response activities. Recovery operations could also cause fluctuations in load consumption due to varying demand caused by service disruptions and restorations.In 2019-02-07 14:06:00, the news that had the Real-Time Direct Effect on Today's Load Consumption is that Townsville\u2019s catastrophic floods were five times larger than initially thought, with data revealing the disaster was greater than a one-in-500-year event. The region that may be influenced is QLD. The rationality is that Severe flooding can cause immediate and direct effects on today's load consumption as there may be widespread power outages, infrastructure damage leading to reduced load and altered usage patterns as affected communities may be forced to evacuate or rely on backup power sources.",