[:         "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 2020-12-18 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 2020-12-19 that is Weekend, and it is not a public holiday. Weather of the start date: the minimum temperature is 297.11; the maximum temperature is 302.95; the humidity is 78.0; the pressure is 1012.0.  Weather of the prediction date: the minimum temperature is 296.46; the maximum temperature is 304.19; the humidity is 78.0; the pressure is 1012.0. There is no suitable news for long-term effect on future load consumption.In 2020-12-18 13:47:00, the news that had the Short-Term Effect on Today's Load Consumption is that Melbourne travellers are changing flights to avoid Sydney, while Sydneysiders are rushing to get out of the city before Christmas as a virus cluster grows. The region that may be influenced is NSW/VIC. The rationality is that The sudden change in travel plans due to the virus cluster can temporarily increase load consumption in specific regions (NSW/VIC), as it may lead to a surge in energy use at airports, transportation systems, and public spaces due to increased passenger throughput and the necessity of additional health and safety measures.In 2020-12-18 07:11:00, the news that had the Real-Time Direct Effect on Today's Load Consumption is that NSW residents along the east coast are preparing for a sweep of severe thunderstorms after a day of sweltering heat. The region that may be influenced is NSW. The rationality is that The occurrence of severe weather conditions such as thunderstorms and sweltering heat can have an immediate impact on load consumption. During periods of high temperatures, there is typically an increase in the use of air conditioning systems which raises electricity demand. Conversely, thunderstorms may lead to power interruptions and temporary reductions in energy consumption.",