[:         "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 2019-12-31 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 2020-1-1 that is Weekday, and it is a public holiday: New Year's Day. Weather of the start date: the minimum temperature is 285.57; the maximum temperature is 298.53; the humidity is 52.0; the pressure is 1018.0.  Weather of the prediction date: the minimum temperature is 287.54; the maximum temperature is 303.93; the humidity is 51.5; the pressure is 1019.0. There is no suitable news for long-term effect on future load consumption.In 2019-12-31 09:42:00, the news that had the Short-Term Effect on Today's Load Consumption is that Thousands of people have been left without power in Melbourne\u2019s suburbs, with the city\u2019s western and inner eastern among the worst hit. The region that may be influenced is VIC. The rationality is that Power outages in Melbourne's suburbs mean a short-term drop in electricity consumption for the area due to the lack of electrical infrastructure to deliver power to consumers.In 2019-12-31 10:20:09, the news that had the Real-Time Direct Effect on Today's Load Consumption is that A fast-moving grassfire in Greystanes, in Western Sydney, which threatened up to 100 homes, has been brought under control by 'bloody knackered' RFS volunteers. The region that may be influenced is NSW. The rationality is that A fast-moving grassfire poses an immediate threat to infrastructure, causing emergency shutdowns and power cuts as a safety measure, reducing electricity consumption as firefighting efforts take precedence.",