[:         "input": "Based on the historical load data, please predict the load consumption in the next day. The region for prediction is SA. The start date of historical data was on 2019-11-17 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 2019-11-18 that is Weekday, and it is not a public holiday. Weather of the start date: the minimum temperature is 284.37; the maximum temperature is 304.64; the humidity is 31.0; the pressure is 1017.0.  Weather of the prediction date: the minimum temperature is 287.21; the maximum temperature is 298.9; the humidity is 62.0; the pressure is 1013.75. In 2019-11-17 09:02:00, the news that had the Long-Term Effect on Future Load Consumption is that Residents in the vicinity of three fires have been told to 'leave now' as 75 bushfires continue to burn across the state. The region that may be influenced is NSW. The rationality is that Significant bushfire incidents can have long-term implications for regional and national energy infrastructure, disaster recovery efforts, and energy policy and regulation changes, all of which may influence future load consumption.In 2019-11-17 19:26:00, the news that had the Short-Term Effect on Today's Load Consumption is that Break out the sunblock Hobart is expecting a very hot day later this week, but not before more wild winds descend. The region that may be influenced is TAS. The rationality is that Short-term weather patterns, such as the predicted hot day, can dramatically alter energy consumption due to increased use of cooling systems like air conditioners.There is no suitable news for Real-Time Direct Effect on Today's Load Consumption.",