[:         "input": "Based on the historical load data, please predict the load consumption in the next day. The region for prediction is QLD. The start date of historical data was on 2019-9-8 that is Weekend, 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 2019-9-9 that is Weekday, and it is not a public holiday. Weather of the start date: the minimum temperature is 285.47; the maximum temperature is 295.71; the humidity is 29.0; the pressure is 1012.0.  Weather of the prediction date: the minimum temperature is 282.76; the maximum temperature is 294.93; the humidity is 24.0; the pressure is 1019.0. There is no suitable news for long-term effect on future load consumption.In 2019-09-08 00:30:00, the news that had the Short-Term Effect on Today's Load Consumption is that Move into this cleverly-designed country home on 30ha at Kangarilla and say goodbye to power bills. The region that may be influenced is SA. The rationality is that The promotion of a residence with self-sustainable energy suggests a move towards homes equipped with renewable energy sources, which in the short term may reflect a slight decrease in power demand from the grid as more individuals may seek similar self-sustaining solutions.In 2019-09-08 14:06:00, the news that had the Real-Time Direct Effect on Today's Load Consumption is that Parents have been asked to not take their children to school on Monday if there is any risk because of bushfires. The warning comes as it was confirmed 10 schools will be closed tomorrow. The region that may be influenced is General / not specified. The rationality is that The closure of schools due to bushfires could have a real-time direct effect on load consumption for the day, with the possibility of affected areas requiring more emergency services and citizens perhaps relying more on personal resources and utilities due to disruptions caused by the bushfires.",