[:         "input": "Based on the historical load data, please predict the load consumption in the next day. The region for prediction is NSW. The start date of historical data was on 2019-4-15 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 2019-4-16 that is Weekday, and it is not a public holiday. Weather of the start date: the minimum temperature is 286.38; the maximum temperature is 296.84; the humidity is 72.0; the pressure is 1025.0.  Weather of the prediction date: the minimum temperature is 286.98; the maximum temperature is 297.25; the humidity is 93.0; the pressure is 1026.0. There is no suitable news for long-term effect on future load consumption.In 2019-04-15 22:03:00, the news that had the Short-Term Effect on Today's Load Consumption is that A car has burst into flames along Port Wakefield Rd, however it\u2019s not clear what caused the inferno. SEE THE VIDEO. The region that may be influenced is SA. The rationality is that A car fire can create temporary road blockages, leading to traffic congestion. The backlog and delay might cause short-term fluctuation in load consumption due to changes in public transportation and road lighting usage, as well as impacting nearby businesses or residences.In 2019-04-15 17:56:00, the news that had the Real-Time Direct Effect on Today's Load Consumption is that Three crashes in the space of 30 minutes are causing massive delays for Brisbane motorists on their afternoon commute. The region that may be influenced is QLD. The rationality is that Traffic accidents and the resulting congestion can cause an immediate increase in load consumption due to higher use of street lights, traffic signals, and emergency services. Additionally, changes in usual commuting patterns may affect energy usage as people's schedules are disrupted.",