[:         "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 2019-1-27 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 2019-1-28 that is Weekday, and it is a public holiday: Australia Day (Observed). Weather of the start date: the minimum temperature is 287.5; the maximum temperature is 303.84; the humidity is 39.0; the pressure is 1008.0.  Weather of the prediction date: the minimum temperature is 290.92; the maximum temperature is 302.79; the humidity is 41.0; the pressure is 1007.0. In 2019-01-27 15:52:00, the news that had the Long-Term Effect on Future Load Consumption is that In 2019-01-27 15:52:00, the news was published that A teenage male was found with almost 600 capsules and $2000 cash at a Sydney music festival but he wasn\u2019t the one organisers were most keen to keep out. The region that may be influenced is NSW. The rationality is that This news doesn't directly imply a long-term impact on future load consumption. Such an incident is typically isolated with negligible long-term effects on energy demands.In 2019-01-27 20:35:00, the news that had the Short-Term Effect on Today's Load Consumption is that In 2019-01-27 20:35:00, the news was published that Sydney sizzled along with all the snags on barbecues over the Australia Day weekend but a cool reprieve is in sight today before the heat returns in time for the return to work and school. The region that may be influenced is NSW. The rationality is that The extreme heat mentioned in Sydney is likely to result in increased use of air conditioning which leads to a spike in load consumption over the short term, corresponding with the weather-based demand for electricity.There is no suitable news for Real-Time Direct Effect on Today's Load Consumption.",