[:         "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 2019-9-30 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 2019-10-1 that is Weekday, and it is not a public holiday. Weather of the start date: the minimum temperature is 291.45; the maximum temperature is 296.16; the humidity is 82.0; the pressure is 1027.0.  Weather of the prediction date: the minimum temperature is 288.15; the maximum temperature is 297.18; the humidity is 56.0; the pressure is 1029.0. There is no suitable news for long-term effect on future load consumption.In 2019-09-30 07:48:00, the news that had the Short-Term Effect on Today's Load Consumption is that Tech billionaire Elon Musk has unveiled a new SpaceX Starship for private round-trips to Moon and Mars due to launch in just weeks. The region that may be influenced is No specific region. The rationality is that The news of a SpaceX Starship ready to launch soon may have a short-term impact on load consumption, particularly if the launch infrastructure and control centers are based or partly operated in Australia. This would require considerable energy for systems checks, simulations, and launch procedures.In 2019-09-30 16:50:00, the news that had the Real-Time Direct Effect on Today's Load Consumption is that A three-car crash on the Pacific Motorway is causing big delays for traffic heading out of the city this afternoon. The region that may be influenced is QLD. The rationality is that The traffic crash on the Pacific Motorway could lead to an immediate increase in load consumption as more people might be using their car air conditioning and other electronic devices while idling in traffic, especially if it's during a hot day which is common in Queensland. Additionally, there may be increased use of electronic signage, traffic lights redirection, and emergency services, leading to a spike in real-time energy consumption.",