[:         "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 2020-10-10 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 2020-10-11 that is Weekend, and it is not a public holiday. Weather of the start date: the minimum temperature is 286.53; the maximum temperature is 298.56; the humidity is 35.0; the pressure is 1021.0.  Weather of the prediction date: the minimum temperature is 290.19; the maximum temperature is 295.85; the humidity is 82.0; the pressure is 1024.0. There is no suitable news for long-term effect on future load consumption.In 2020-10-10 22:11:00, the news that had the Short-Term Effect on Today's Load Consumption is that Firefighters will work overnight to contain a massive bushfire burning south of Sydney, which shut down the highway and sparked major delays. The region that may be influenced is NSW. The rationality is that Natural disasters such as bushfires require significant emergency services response, which may lead to an increase in energy consumption with the use of equipment and lights overnight for safety and firefighting efforts.In 2020-10-10 09:56:00, the news that had the Real-Time Direct Effect on Today's Load Consumption is that A Sydney hospital has been placed on alert after a nurse who tested positive for coronavirus worked while infectious. The region that may be influenced is NSW. The rationality is that A health alert at a major hospital may lead to increased energy usage as additional resources and measures might be activated to contain the spread. This could involve increased ventilation, additional medical equipment being operated, and areas being sealed off, which may impact the facility's load consumption.",