[:         "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 2019-8-13 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 2019-8-14 that is Weekday, and it is not a public holiday. Weather of the start date: the minimum temperature is 275.86; the maximum temperature is 287.19; the humidity is 86.0; the pressure is 1024.0.  Weather of the prediction date: the minimum temperature is 282.45; the maximum temperature is 290.08; the humidity is 61.0; the pressure is 1013.0. There is no suitable news for long-term effect on future load consumption.In 2019-08-13 13:29:00, the news that had the Short-Term Effect on Today's Load Consumption is that Whistleblowers are too scared to speak since the AFP raided journalists\u2019 homes, as media bosses called for more protection. The region that may be influenced is Australia-wide. The rationality is that The chilling effect on whistleblowers caused by police raids could lead to a decrease in energy consumption in the media sector as activities might slow down temporarily due to fear and uncertainty among journalists and their sources.In 2019-08-13 07:53:00, the news that had the Real-Time Direct Effect on Today's Load Consumption is that Mass protests at Hong Kong\u2019s international airport have forced flight cancellations to and from Australia, with Aussie travellers facing major delays. The region that may be influenced is Australia-wide. The rationality is that Flight cancellations and travel delays are likely to result in immediate increased operations at airports and possible upticks in energy consumption as additional flights are rescheduled and passengers require accommodation and resources at Australian airports.",