[:         "input": "Based on the historical load data, please predict the load consumption in the next day. The region for prediction is VIC. The start date of historical data was on 2019-1-26 that is Weekend, and it is a public holiday: Australia Day. The data frequency is 30 minutes per point. Historical data covers 1 day. The date of prediction is on 2019-1-27 that is Weekend, and it is not a public holiday. Weather of the start date: the minimum temperature is 290.6; the maximum temperature is 300.57; the humidity is 53.0; the pressure is 1011.0.  Weather of the prediction date: the minimum temperature is 287.53; the maximum temperature is 306.63; the humidity is 56.0; the pressure is 1014.0. There is no suitable news for long-term effect on future load consumption.In 2019-01-26 09:50:00, the news that had the Short-Term Effect on Today's Load Consumption is that Power has been restored to Melbourne homes after more than 3000 were still without power last night, when Victoria\u2019s ageing energy \u00adnetwork failed to cope with the \u00adblistering \u00adheat. The region that may be influenced is VIC. The rationality is that The immediate restoration of power after an outage indicates a sharp increase in load as systems come back online, including air conditioning and refrigeration units, after a period of forced reduction.In 2019-01-26 08:50:00, the news that had the Real-Time Direct Effect on Today's Load Consumption is that Australians have flocked to beaches amid scorching Australia Day temperatures, as bushfires force some to leave their homes. The region that may be influenced is Various regions. The rationality is that Extreme weather, such as the heatwave mentioned, leads to higher use of cooling systems like air conditioners which directly results in real-time increases in electricity load consumption.",