[:         "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 2020-7-3 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 2020-7-4 that is Weekend, and it is not a public holiday. Weather of the start date: the minimum temperature is 280.89; the maximum temperature is 288.27; the humidity is 74.0; the pressure is 1018.0.  Weather of the prediction date: the minimum temperature is 281.6; the maximum temperature is 290.47; the humidity is 70.0; the pressure is 1021.0. In 2020-07-03 17:54:00, the news that had the Long-Term Effect on Future Load Consumption is that Victoria\u2019s health minister knew about problems with the hotel quarantine system a month ago, so why wasn\u2019t action taken earlier?. The region that may be influenced is VIC. The rationality is that Issues with hotel quarantine may result in prolonged health crises, which can have long-term effects on population behavior and energy consumption due to changes in policy, work habits, and public health directives.In 2020-07-03 13:51:00, the news that had the Short-Term Effect on Today's Load Consumption is that The NSW Health Minister has ripped into a man in his 50s who arrived in Sydney this morning from one of Melbourne\u2019s virus hot spots. The region that may be influenced is NSW. The rationality is that The travel of potentially infected individuals could result in short-term regional lockdowns or increased health precautions, altering the immediate load consumption patterns due to changes in residential and commercial activities.In 2020-07-03 08:21:00, the news that had the Real-Time Direct Effect on Today's Load Consumption is that Victoria\u2019s coronavirus numbers continue to rise with a dramatic increase in numbers overnight with 108 new cases, one of the largest in months. The region that may be influenced is VIC. The rationality is that A sharp increase in COVID-19 cases may lead to immediate lockdowns or increased energy use from residential sectors due to people staying home, while simultaneously decreasing commercial and industrial energy consumption.",