[:         "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 2020-7-26 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 2020-7-27 that is Weekday, and it is not a public holiday. Weather of the start date: the minimum temperature is 285.71; the maximum temperature is 289.3; the humidity is 100.0; the pressure is 997.0.  Weather of the prediction date: the minimum temperature is 285.47; the maximum temperature is 290.35; the humidity is 93.0; the pressure is 1005.0. There is no suitable news for long-term effect on future load consumption.In 2020-07-26 23:13:00, the news that had the Short-Term Effect on Today's Load Consumption is that The global number of coronavirus cases crossed a huge figure on Sunday. The region that may be influenced is NSW/VIC/QLD/SA/WA/TAS. The rationality is that A significant rise in coronavirus cases may result in public responses such as increased stay-at-home activities or, conversely, preparations for lockdowns, which could affect energy consumption differently across regions in the short term.In 2020-07-26 13:54:00, the news that had the Real-Time Direct Effect on Today's Load Consumption is that A number of rivers in NSW and Victoria are poised to burst their banks with heavy rainfall forecast for today and tomorrow. The region that may be influenced is NSW/VIC. The rationality is that Impending natural disasters and severe weather events could lead to emergency measures and power disruptions, having an immediate and direct impact on the energy load distribution and consumption patterns.",