[:         "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 2019-1-15 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 2019-1-16 that is Weekday, and it is not a public holiday. Weather of the start date: the minimum temperature is 288.3; the maximum temperature is 293.61; the humidity is 59.0; the pressure is 1011.0.  Weather of the prediction date: the minimum temperature is 288.17; the maximum temperature is 296.9; the humidity is 77.0; the pressure is 1009.0. In 2019-01-15 10:53:00, the news that had the Long-Term Effect on Future Load Consumption is that By the years 2009 to 2017, Antarctic ice loss has increased more than sixfold \u2014 a worrying trajectory that means many coastal cities will soon be flooded. The region that may be influenced is N/A. The rationality is that The news about the increase in Antarctic ice loss leading to potential coastal flooding can create long-term impact on load consumption as it highlights the acceleration of climate change impacts. This could lead to changes in policy and increased efforts in energy efficiency and renewable energy adoption to mitigate the effects of global warming.In 2019-01-15 10:00:00, the news that had the Short-Term Effect on Today's Load Consumption is that Record breaking heatwave is only getting worse with a Code Red weather emergency and Police warning. The region that may be influenced is VIC. The rationality is that Extreme heat events, like the one indicated by a Code Red weather emergency, typically result in higher electricity usage due to increased air conditioning and cooling requirements, which affects the short-term load consumption.In 2019-01-15 09:18:00, the news that had the Real-Time Direct Effect on Today's Load Consumption is that Commuters have lashed out as Melbourne\u2019s train network left them 'stranded' in sweltering heat last night and again this morning. The region that may be influenced is VIC. The rationality is that Technical issues with public transport, especially during extreme weather conditions, can lead to an immediate increase in load consumption as more people may opt to use personal transportation with air conditioning, therefore consuming more power in real-time.",