[:         "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 2019-1-14 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 2019-1-15 that is Weekday, and it is not a public holiday. Weather of the start date: the minimum temperature is 295.58; the maximum temperature is 313.75; the humidity is 63.75; the pressure is 1008.0.  Weather of the prediction date: the minimum temperature is 295.45; the maximum temperature is 310.64; the humidity is 38.25; the pressure is 1009.0. There is no suitable news for long-term effect on future load consumption.In 2019-01-14 18:11:00, the news that had the Short-Term Effect on Today's Load Consumption is that A heatwave in SA has sparked a \u201cCode Red\u201d alert, with the mercury set to soar as high as 47C in parts of the state over the next three days. The region that may be influenced is SA. The rationality is that Extreme temperatures typically result in higher usage of cooling systems such as air conditioners, which can lead to a significant spike in energy consumption, impacting load consumption in the short term as residents seek relief from the heat.In 2019-01-14 10:26:00, the news that had the Real-Time Direct Effect on Today's Load Consumption is that A triggered alarm at Melbourne Airport caused inbound flights to be suspended and some to be diverted, creating delays for passengers. The region that may be influenced is VIC. The rationality is that The immediate effect of the alarm and the consequent suspension of flights would lead to a sudden change in energy usage patterns at the airport due to operational disruptions. This could cause a direct but likely brief impact on energy consumption as systems adjust to the sudden change.",