[:         "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 2019-5-17 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 2019-5-18 that is Weekend, and it is not a public holiday. Weather of the start date: the minimum temperature is 286.19; the maximum temperature is 296.53; the humidity is 52.0; the pressure is 1024.0.  Weather of the prediction date: the minimum temperature is 290.28; the maximum temperature is 295.67; the humidity is 37.5; the pressure is 1019.0. There is no suitable news for long-term effect on future load consumption.In 2019-05-17 09:43:00, the news that had the Short-Term Effect on Today's Load Consumption is that Dozens of fire crews are fighting a factory blaze in Melbourne\u2019s east, which ripped through a Knoxfield packaging factory this morning. Smoke is visible from surrounding suburbs. The region that may be influenced is VIC. The rationality is that The factory blaze requires increased activity from emergency services and may lead to a higher energy use in the short-term due to the deployment of firefighting equipment, additional lighting, and other services involved in the emergency response.In 2019-05-17 09:34:00, the news that had the Real-Time Direct Effect on Today's Load Consumption is that An emotional Phil Gould was rattled by the sad news he received during Channel 9\u2019s broadcast of Melbourne\u2019s win over the Tigers. The region that may be influenced is No specific region mentioned for real-time news. The rationality is that This news is unlikely to cause a real-time direct effect on today's load consumption as it is related to a personal reaction during a broadcast event rather than an incident or event that could impact electricity use.",