[:         "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 2019-11-2 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 2019-11-3 that is Weekend, and it is not a public holiday. Weather of the start date: the minimum temperature is 291.62; the maximum temperature is 300.4; the humidity is 69.0; the pressure is 1020.0.  Weather of the prediction date: the minimum temperature is 293.53; the maximum temperature is 303.81; the humidity is 78.0; the pressure is 1016.0. There is no suitable news for long-term effect on future load consumption.In 2019-11-02 16:35:00, the news that had the Short-Term Effect on Today's Load Consumption is that One of the biggest days in the racing calendar, has been marred by chaotic weather, impacting proceedings on and off the track. The region that may be influenced is VIC. The rationality is that Chaotic weather can have a significant short-term impact on energy usage due to disrupted events and the resultant changes in people's plans, including increased usage of heating or cooling systems if the chaotic weather involves extreme temperatures.In 2019-11-02 10:37:00, the news that had the Real-Time Direct Effect on Today's Load Consumption is that Firefighters say today\u2019s rainy weather conditions are good news for communities battling bushfires, and fire crews are not expecting any new blazes to start on Saturday. The region that may be influenced is NSW. The rationality is that Rainy weather can lead to a decrease in heating and cooling needs, thereby potentially reducing the energy load consumption in real time. It can also affect usage patterns, such as lessening the need for electric lighting during daytime hours.",