[:         "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 2019-9-20 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 2019-9-21 that is Weekend, and it is not a public holiday. Weather of the start date: the minimum temperature is 284.71; the maximum temperature is 294.18; the humidity is 82.0; the pressure is 1008.0.  Weather of the prediction date: the minimum temperature is 279.78; the maximum temperature is 287.59; the humidity is 88.0; the pressure is 1015.0. There is no suitable news for long-term effect on future load consumption.In 2019-09-20 14:40:00, the news that had the Short-Term Effect on Today's Load Consumption is that Get to a servo quickly if you want to fill up before prices jump higher. While it\u2019s less than a week since drones blasted a big Saudi oil plant, retailers are jacking up prices now. The region that may be influenced is NSW. The rationality is that News of rising fuel prices can lead to a short-term spike in consumption as consumers rush to fill up before prices go up. This could cause a brief increase in load as more fuel is pumped, and there's more traffic to and from stations.There is no suitable news for Real-Time Direct Effect on Today's Load Consumption.",