[:         "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 2019-3-15 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 2019-3-16 that is Weekend, and it is not a public holiday. Weather of the start date: the minimum temperature is 293.23; the maximum temperature is 297.43; the humidity is 100.0; the pressure is 1014.0.  Weather of the prediction date: the minimum temperature is 293.47; the maximum temperature is 300.32; the humidity is 88.0; the pressure is 1015.0. In 2019-03-15 18:44:00, the news that had the Long-Term Effect on Future Load Consumption is that Queensland is on the cusp of a housing boom, with a leading analyst predicting interstate migration to hit a record high by next year \u2014 putting upward pressure on home prices. The region that may be influenced is QLD. The rationality is that Population growth and urban development are key long-term factors that can increase energy load. The predicted housing boom due to migration in Queensland is likely to lead to a higher demand in residential energy consumption.In 2019-03-15 08:34:00, the news that had the Short-Term Effect on Today's Load Consumption is that Sydney Airport is in battle mode, with flights cancelled and passengers facing significant delays after a wild storm lashed the city. The region that may be influenced is NSW. The rationality is that Extreme weather events like the storm in NSW can lead to an immediate spike in energy consumption due to increased usage of heating or cooling systems, as well as emergency responses and repairs.In 2019-03-15 16:18:00, the news that had the Real-Time Direct Effect on Today's Load Consumption is that The aftermath of the severe storms across southeast Queensland is still being felt, with homes still without power and train services suspended on an entire line. It comes after up to 105mm of rain fell in an hour in some parts. The region that may be influenced is QLD. The rationality is that The disruption caused by severe storms can have a real-time impact on energy consumption as areas without power will have reduced load, while areas with power may have increased demand due to the use of emergency equipment and storm recovery efforts.",