[:         "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 2019-3-17 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 2019-3-18 that is Weekday, and it is not a public holiday. Weather of the start date: the minimum temperature is 289.67; the maximum temperature is 300.27; the humidity is 64.0; the pressure is 1018.0.  Weather of the prediction date: the minimum temperature is 290.79; the maximum temperature is 297.27; the humidity is 76.0; the pressure is 1016.0. There is no suitable news for long-term effect on future load consumption.In 2019-03-17 15:12:00, the news that had the Short-Term Effect on Today's Load Consumption is that Parts of Sydney are flooded after a month\u2019s worth of rain continues to wreak havoc across the city. The region that may be influenced is NSW. The rationality is that Severe weather events like flooding can lead to an immediate increase in load consumption due to the use of emergency services, water pumps, and recovery and repair efforts. Moreover, individuals and businesses may rely more on electrically powered heating appliances to dry out buildings and on additional lighting during clean-up operations.There is no suitable news for Real-Time Direct Effect on Today's Load Consumption.",