[:         "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 2020-12-13 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 2020-12-14 that is Weekday, and it is not a public holiday. Weather of the start date: the minimum temperature is 297.28; the maximum temperature is 307.24; the humidity is 29.5; the pressure is 1009.75.  Weather of the prediction date: the minimum temperature is 292.15; the maximum temperature is 301.85; the humidity is 47.0; the pressure is 1012.0. There is no suitable news for long-term effect on future load consumption.In 2020-12-13 09:34:00, the news that had the Short-Term Effect on Today's Load Consumption is that A dramatic rescue mission has successfully helped free an abseiler who fell and spent a night trapped in a canyon near Lithgow in New South Wales. The region that may be influenced is NSW. The rationality is that Rescue operations, especially dramatic ones involving helicopters and search teams, can lead to a spike in energy consumption due to the urgency and intensity of the activities, including increased use of lighting, communication equipment, and emergency facilities.There is no suitable news for Real-Time Direct Effect on Today's Load Consumption.",