[:         "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 2019-2-20 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 2019-2-21 that is Weekday, and it is not a public holiday. Weather of the start date: the minimum temperature is 288.43; the maximum temperature is 298.6; the humidity is 62.0; the pressure is 1021.75.  Weather of the prediction date: the minimum temperature is 286.85; the maximum temperature is 301.67; the humidity is 51.0; the pressure is 1021.75. There is no suitable news for long-term effect on future load consumption.In 2019-02-20 11:17:00, the news that had the Short-Term Effect on Today's Load Consumption is that Australians are in the midst of a 20-year ODI drought against the Australian women\u2019s cricket side, but they hope their pace ace will help them get long-overdue revenge. The region that may be influenced is VIC. The rationality is that Sporting events can lead to a short-term increase in energy consumption due to stadium lighting, broadcasting equipment, and an overall increase in domestic viewership leading to more televisions and appliances being used.In 2019-02-20 06:35:11, the news that had the Real-Time Direct Effect on Today's Load Consumption is that 750 litres of diesel has spilled into a waterway just off the Augusta Hwy in the state's mid-north after a B-double truck crashed into a creek bed. The region that may be influenced is SA. The rationality is that Environmental incidents like diesel spills can demand immediate attention and resources, potentially impacting the energy consumption of the area in real-time due to the need for emergency services, cleanup operations, and possible disruptions to local power infrastructure.",