[:         "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 2019-1-9 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 2019-1-10 that is Weekday, and it is not a public holiday. Weather of the start date: the minimum temperature is 296.47; the maximum temperature is 303.09; the humidity is 69.0; the pressure is 1015.0.  Weather of the prediction date: the minimum temperature is 294.61; the maximum temperature is 304.0; the humidity is 65.0; the pressure is 1018.0. In 2019-01-09 19:59:00, the news that had the Long-Term Effect on Future Load Consumption is that South Australia is only days away from a heatwave which will last for almost a week and has left Tour Down Under organisers anxiously watching the weather forecast. The region that may be influenced is SA. The rationality is that The impending heatwave in SA is likely to increase the use of air conditioning and refrigeration, thus resulting in a long-term rise in energy consumption throughout the hot period. Additionally, public and sporting events may adapt and increase their energy usage to cope with the extreme weather conditions.In 2019-01-09 00:10:00, the news that had the Short-Term Effect on Today's Load Consumption is that Power was knocked out to thousands of homes as huge red dust clouds swept across parts of New South Wales. The region that may be influenced is NSW. The rationality is that The power outages caused by red dust clouds are a short-term issue impacting load consumption immediately. Restoration of power and potential energy spikes upon reconnection could affect load consumption metrics for the day.There is no suitable news for Real-Time Direct Effect on Today's Load Consumption.",