[:         "input": "Based on the historical load data, please predict the load consumption in the next day. The region for prediction is VIC. The start date of historical data was on 2019-11-12 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 2019-11-13 that is Weekday, and it is not a public holiday. Weather of the start date: the minimum temperature is 281.72; the maximum temperature is 289.36; the humidity is 58.0; the pressure is 1016.0.  Weather of the prediction date: the minimum temperature is 284.9; the maximum temperature is 295.15; the humidity is 62.0; the pressure is 1016.0. There is no suitable news for long-term effect on future load consumption.In 2019-11-12 22:17:00, the news that had the Short-Term Effect on Today's Load Consumption is that A mix of good fortune, planning and the fortitude of frontline firefighters helped Sydney stave off a catastrophe. At midnight there were 82 fires burning across the state with 30 out of control and seven burning at emergency level. The region that may be influenced is NSW. The rationality is that The bushfires in NSW create an immediate increase in load consumption due to higher demand for emergency services, communication systems, and possibly increased residential use due to evacuations and displacement of residents.In 2019-11-12 19:24:00, the news that had the Real-Time Direct Effect on Today's Load Consumption is that The devastating NSW bushfires have lowered the air quality across the state, with health authorities warning people with respiratory illnesses, such as asthma, to remain vigilant, or the consequences could be fatal. The region that may be influenced is NSW. The rationality is that Deteriorating air quality is likely to lead to increased use of air purifiers and ventilation systems in homes and healthcare facilities, directly affecting energy consumption in real-time.",