[:         "input": "Based on the historical load data, please predict the load consumption in the next day. The region for prediction is NSW. The start date of historical data was on 2019-10-13 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 2019-10-14 that is Weekday, and it is not a public holiday. Weather of the start date: the minimum temperature is 283.16; the maximum temperature is 297.14; the humidity is 51.0; the pressure is 1018.0.  Weather of the prediction date: the minimum temperature is 286.04; the maximum temperature is 299.66; the humidity is 67.0; the pressure is 1013.0. There is no suitable news for long-term effect on future load consumption.In 2019-10-13 19:41:00, the news that had the Short-Term Effect on Today's Load Consumption is that Investigations are continuing this morning into the disappearance of a woman from a campground in the Mount Lofty Ranges. The region that may be influenced is SA. The rationality is that This news could temporarily increase load consumption due to potential search operations and increased use of electrically-powered equipment in the region, during investigative activities.In 2019-10-13 19:09:00, the news that had the Real-Time Direct Effect on Today's Load Consumption is that Families heading back from school holiday travels have been hit by a massive petrol price spike of more than 40c per litre. The region that may be influenced is None. The rationality is that A sudden increase in petrol prices could lead some consumers to consider electric vehicles or public transportation, which could impact fuel consumption patterns immediately, especially if the spike persists for some time.",