[:         "input": "Based on the historical load data, please predict the load consumption in the next day. The region for prediction is TAS. The start date of historical data was on 2020-1-19 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 2020-1-20 that is Weekday, and it is not a public holiday. Weather of the start date: the minimum temperature is 287.39; the maximum temperature is 290.11; the humidity is 67.0; the pressure is 1011.0.  Weather of the prediction date: the minimum temperature is 286.35; the maximum temperature is 292.75; the humidity is 67.0; the pressure is 1008.0. There is no suitable news for long-term effect on future load consumption.In 2020-01-19 20:59:00, the news that had the Short-Term Effect on Today's Load Consumption is that On a planet where extreme weather and natural disasters are becoming increasingly common, experts predict the mega disasters to come. The region that may be influenced is NSW. The rationality is that Predictions or occurrences of extreme weather events lead to a heightened awareness and preparations that can cause a surge in energy consumption, especially in the short-term as people and businesses ready themselves.In 2020-01-19 20:04:00, the news that had the Real-Time Direct Effect on Today's Load Consumption is that Two boats have smashed into each other south of Adelaide this afternoon leaving two men dead and two people seriously injured. The region that may be influenced is SA. The rationality is that Accidents and emergencies typically lead to an immediate response from emergency services and the local community, which can increase energy usage in real-time due to the activation of rescue operations, hospital services, and other support systems.",