[:         "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 2020-5-30 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 2020-5-31 that is Weekend, and it is not a public holiday. Weather of the start date: the minimum temperature is 283.43; the maximum temperature is 288.18; the humidity is 81.0; the pressure is 1005.0.  Weather of the prediction date: the minimum temperature is 279.21; the maximum temperature is 289.0; the humidity is 81.0; the pressure is 1001.0. In 2020-05-30 15:21:00, the news that had the Long-Term Effect on Future Load Consumption is that The UK parent company of this clothing retailer has announced the closure of all its Australian stores due to the coronavirus downturn. The region that may be influenced is n/a. The rationality is that The long-term closure of retail stores could lead to a sustained reduction in load consumption due to less commercial activity and a possible shift towards increased online shopping, which may alter the load patterns and potentially reduce energy usage in commercial spaces.In 2020-05-30 18:18:00, the news that had the Short-Term Effect on Today's Load Consumption is that Five crews, totalling 20 firefighters, took about an hour to bring a fire at the Nyrstar factory in Hobart under control. The region that may be influenced is TAS. The rationality is that The response to the fire and the recovery process could lead to a temporary increase in electricity use due to emergency services and perhaps a surge in industrial load when production resumes after an outage.There is no suitable news for Real-Time Direct Effect on Today's Load Consumption.",