[:         "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 2020-2-10 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 2020-2-11 that is Weekday, and it is not a public holiday. Weather of the start date: the minimum temperature is 294.88; the maximum temperature is 302.34; the humidity is 88.0; the pressure is 1009.0.  Weather of the prediction date: the minimum temperature is 295.86; the maximum temperature is 298.67; the humidity is 94.0; the pressure is 1007.0. There is no suitable news for long-term effect on future load consumption.In 2020-02-10 18:51:00, the news that had the Short-Term Effect on Today's Load Consumption is that Commuters are facing major delays this afternoon, with Sydney trains still struggling to recover from the impact of the recent wild weather. The region that may be influenced is NSW. The rationality is that The disruption in public transportation typically leads to increased use of alternate forms of transport that may require more energy, such as personal vehicles or ride-sharing services, causing a temporary rise in energy consumption.In 2020-02-10 14:13:00, the news that had the Real-Time Direct Effect on Today's Load Consumption is that A family of five has been rushed to hospital with suspected carbon monoxide poisoning from a generator in their home. The region that may be influenced is No specific region given. The rationality is that The use of generators due to power cuts or as a backup power source leads to direct, immediate spikes in energy consumption, especially if such events are widespread due to a crisis or natural disaster.",