[:         "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 2020-11-27 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 2020-11-28 that is Weekend, and it is not a public holiday. Weather of the start date: the minimum temperature is 293.85; the maximum temperature is 313.31; the humidity is 42.0; the pressure is 1009.0.  Weather of the prediction date: the minimum temperature is 293.98; the maximum temperature is 312.76; the humidity is 21.0; the pressure is 1000.0. There is no suitable news for long-term effect on future load consumption.In 2020-11-27 08:36:00, the news that had the Short-Term Effect on Today's Load Consumption is that Sydney is set to sizzle this weekend as a severe heatwave sets in, with NSW Health issuing a warning over the expected extreme weather. The region that may be influenced is NSW. The rationality is that Extreme temperatures tend to increase the use of air conditioning and cooling systems. As a consequence, there is usually a spike in electricity load consumption during a heatwave, particularly in residential areas.In 2020-11-27 08:13:00, the news that had the Real-Time Direct Effect on Today's Load Consumption is that Commuters have been left stranded at stations across NSW after a snap union strike, sparking major train delays across multiple lines. The region that may be influenced is NSW. The rationality is that A sudden transportation strike could lead to an immediate, albeit likely temporary, reduction in load consumption as train systems are a significant electricity user. However, the counteracting effect may come from increased use of other forms of transport or the transition to remote activities, which could level out the overall impact.",