[:         "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 2019-7-31 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 2019-8-1 that is Weekday, and it is not a public holiday. Weather of the start date: the minimum temperature is 279.19; the maximum temperature is 285.71; the humidity is 46.0; the pressure is 1021.0.  Weather of the prediction date: the minimum temperature is 277.45; the maximum temperature is 286.26; the humidity is 65.0; the pressure is 1026.0. In 2019-07-31 18:48:00, the news that had the Long-Term Effect on Future Load Consumption is that The Ralan Group, one of the country\u2019s biggest private apartment developers, has fallen into administration with debts estimated at about $500 million. The region that may be influenced is NSW. The rationality is that The collapse of a significant property developer could signal a downturn in the construction sector, potentially reducing energy demand from the industry over the long term.In 2019-07-31 07:42:00, the news that had the Short-Term Effect on Today's Load Consumption is that Struggled to get out of bed this morning? You are not alone, with Melbourne shivering through the coldest morning of the year \u2014 but the western suburbs and Geelong were practically balmy in comparison. This is why. The region that may be influenced is VIC. The rationality is that Extremely cold weather can lead to an increase in energy consumption as residents and businesses use more heating to maintain comfortable temperatures.In 2019-07-31 09:22:00, the news that had the Real-Time Direct Effect on Today's Load Consumption is that Sydney motorists have faced a nightmare commute this morning, with significant delays still expected after an earlier truck fire. The region that may be influenced is NSW. The rationality is that A traffic incident that leads to significant transportation delays could cause an immediate, albeit small scale, change in energy consumption patterns because of altered routines and potential impacts on commerce.",