[:         "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 2019-10-1 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 2019-10-2 that is Weekday, and it is not a public holiday. Weather of the start date: the minimum temperature is 281.76; the maximum temperature is 298.92; the humidity is 65.0; the pressure is 1025.0.  Weather of the prediction date: the minimum temperature is 288.42; the maximum temperature is 301.51; the humidity is 44.0; the pressure is 1018.0. There is no suitable news for long-term effect on future load consumption.In 2019-10-01 22:30:00, the news that had the Short-Term Effect on Today's Load Consumption is that It\u2019s only early spring but it\u2019s about to feel like midsummer as a double whammy of fronts sends the mercury in major cities way into the thirties. The region that may be influenced is Australia. The rationality is that High temperatures generally lead to increased use of cooling systems such as air conditioning, which typically results in a higher energy load. The short-term impact of a heatwave could significantly spike energy consumption.There is no suitable news for Real-Time Direct Effect on Today's Load Consumption.",