[:         "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 2020-12-12 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 2020-12-13 that is Weekend, and it is not a public holiday. Weather of the start date: the minimum temperature is 289.73; the maximum temperature is 303.98; the humidity is 40.0; the pressure is 1022.0.  Weather of the prediction date: the minimum temperature is 291.01; the maximum temperature is 307.85; the humidity is 38.0; the pressure is 1016.0. In 2020-12-12 17:27:00, the news that had the Long-Term Effect on Future Load Consumption is that China\u2019s loss will be WA\u2019s gain this Christmas, with fresh, cheap lobsters set to hit the market after commercial fishers were given the green light to sell more produce from the back of their boats. The region that may be influenced is WA. The rationality is that The increased local selling of lobsters due to an inability to export to China may lead to a boost in local business operations and related energy consumption. This could have long-term effects if such trade adjustments become a more permanent fixture, influencing the region's energy demands.There is no suitable news for Short-Term Effect on Today's Load Consumption.In 2020-12-12 10:13:00, the news that had the Real-Time Direct Effect on Today's Load Consumption is that Parts of Queensland will be drenched with a month\u2019s worth of rain expected to fall over two days with the worst to come tonight. The region that may be influenced is QLD. The rationality is that Severe weather conditions like heavy rainfall can have an immediate impact on power systems, potentially leading to disruptions in supply or changes in consumption patterns as individuals and businesses respond to the weather event.",