[:         "input": "Based on the historical load data, please predict the load consumption in the next day. The region for prediction is TAS. The start date of historical data was on 2019-9-15 that is Weekend, 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 2019-9-16 that is Weekday, and it is not a public holiday. Weather of the start date: the minimum temperature is 278.78; the maximum temperature is 284.0; the humidity is 56.0; the pressure is 1012.0.  Weather of the prediction date: the minimum temperature is 275.92; the maximum temperature is 287.0; the humidity is 56.0; the pressure is 1026.0. There is no suitable news for long-term effect on future load consumption.In 2019-09-15 04:12:00, the news that had the Short-Term Effect on Today's Load Consumption is that Torrential rain has caused havoc in southeastern Spain, killing six and disrupting air and train services for three days. The region that may be influenced is No specific region in Australia mentioned. The rationality is that No direct connection between the emergency situation in Spain and Australia's immediate energy consumption is established based on the information provided.In 2019-09-15 12:49:00, the news that had the Real-Time Direct Effect on Today's Load Consumption is that The water crisis hitting Australia could see towns run out of water as early as November. The region that may be influenced is General Australia, no specific state mentioned. The rationality is that The water crisis could cause an increase in energy consumption as areas affected may need to resort to alternative water supplies like water transportation or desalination, both of which are energy-intensive processes, potentially causing a spike in real-time load consumption.",