[:         "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 2019-11-20 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 2019-11-21 that is Weekday, and it is not a public holiday. Weather of the start date: the minimum temperature is 287.91; the maximum temperature is 303.9; the humidity is 60.0; the pressure is 1015.0.  Weather of the prediction date: the minimum temperature is 291.56; the maximum temperature is 297.44; the humidity is 82.0; the pressure is 1012.0. There is no suitable news for long-term effect on future load consumption.In 2019-11-20 09:05:00, the news that had the Short-Term Effect on Today's Load Consumption is that More than 100 schools are closed today in South Australia, after a catastrophic fire danger was forecast for most of the state. The region that may be influenced is SA. The rationality is that The closure of schools in response to catastrophic fire conditions can lead to changes in energy consumption patterns due to altered activity and presence of people in these facilities.In 2019-11-20 12:59:00, the news that had the Real-Time Direct Effect on Today's Load Consumption is that The Tasmania Fire Service has warned landowners to prepare for \u2018the most dangerous fire weather conditions forecast so far this bushfire season.\u2019. The region that may be influenced is TAS. The rationality is that Imminent dangerous fire weather conditions could lead to real-time increases in energy consumption as residents may need to power additional fire safety equipment, air filtration systems, or other environmental controls due to the hazardous outdoor conditions.",