[:         "input": "Based on the historical load data, please predict the load consumption in the next day. The region for prediction is VIC. The start date of historical data was on 2019-10-21 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 2019-10-22 that is Weekday, and it is not a public holiday. Weather of the start date: the minimum temperature is 284.22; the maximum temperature is 293.41; the humidity is 67.0; the pressure is 1027.0.  Weather of the prediction date: the minimum temperature is 280.31; the maximum temperature is 300.79; the humidity is 57.0; the pressure is 1021.0. There is no suitable news for long-term effect on future load consumption.There is no suitable news for Short-Term Effect on Today's Load Consumption.In 2019-10-21 10:04:00, the news that had the Real-Time Direct Effect on Today's Load Consumption is that Emergency crews spent the night pumping out around 600,000 litres of water from inside a vacant Light Sq building after it flooded overnight. The region that may be influenced is SA. The rationality is that The use of emergency equipment for activities such as pumping out water from a flooded building will directly and immediately increase energy consumption due to the operation of heavy machinery that requires a significant amount of power, especially if the activity is prolonged over a night.",