[:         "input": "Based on the historical load data, please predict the load consumption in the next day. The region for prediction is SA. The start date of historical data was on 2020-1-31 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 2020-2-1 that is Weekend, and it is not a public holiday. Weather of the start date: the minimum temperature is 291.01; the maximum temperature is 297.91; the humidity is 94.0; the pressure is 1009.0.  Weather of the prediction date: the minimum temperature is 289.2; the maximum temperature is 295.8; the humidity is 57.75; the pressure is 1015.75. There is no suitable news for long-term effect on future load consumption.In 2020-01-31 00:10:00, the news that had the Short-Term Effect on Today's Load Consumption is that A second person has been diagnosed with the deadly coronavirus in Queensland, taking the national total to nine. The region that may be influenced is QLD. The rationality is that The immediate reports of coronavirus cases potentially impact short-term load consumption as businesses and individuals may alter their behavior, affecting energy use in public spaces, transportation, and potentially leading to electricity conservation efforts due to temporary shutdowns or reduced operations.In 2020-01-31 15:08:00, the news that had the Real-Time Direct Effect on Today's Load Consumption is that A huge band of thunderstorms merged together over South Australia, cutting power to thousands of homes and deluging towns. The region that may be influenced is SA. The rationality is that The thunderstorms and power outages have an immediate, real-time effect on load consumption as electricity supply is disrupted, causing an abrupt drop in energy usage in the affected areas.",