[:         "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 2019-1-25 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 2019-1-26 that is Weekend, and it is a public holiday: Australia Day. Weather of the start date: the minimum temperature is 288.9; the maximum temperature is 298.75; the humidity is 49.0; the pressure is 1008.0.  Weather of the prediction date: the minimum temperature is 288.19; the maximum temperature is 297.22; the humidity is 37.0; the pressure is 1003.0. In 2019-01-25 18:20:00, the news that had the Long-Term Effect on Future Load Consumption is that A CYCLONE Watch has been issued and there is a high chance of a tropical low in the Gulf of Carpentaria intensifying into a cyclone by Australia Day, says the Bureau of Meteorology. The region that may be influenced is QLD. The rationality is that The formation of a cyclone can lead to long-term changes in infrastructure needs and rebuilding efforts, which in turn can affect future load consumption as communities recover and rebuild, potentially with updated, more energy-efficient structures or systems.In 2019-01-25 10:00:00, the news that had the Short-Term Effect on Today's Load Consumption is that More than 200,000 households lost power in Victoria today after temperatures soared above 40C and power generators failed. The region that may be influenced is VIC. The rationality is that The loss of power due to failed power generators directly impacts load consumption as households and businesses are without electricity, causing a significant immediate drop in energy usage.In 2019-01-25 10:00:00, the news that had the Real-Time Direct Effect on Today's Load Consumption is that More than 200,000 households lost power in Victoria today after temperatures soared above 40C and power generators failed. The region that may be influenced is VIC. The rationality is that The power outage resulted in an immediate and direct discontinuation of electricity supply, causing an abrupt and significant decrease in load consumption.",