[:         "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 2019-7-13 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 2019-7-14 that is Weekend, and it is not a public holiday. Weather of the start date: the minimum temperature is 278.19; the maximum temperature is 289.37; the humidity is 53.0; the pressure is 1022.0.  Weather of the prediction date: the minimum temperature is 281.94; the maximum temperature is 290.2; the humidity is 50.0; the pressure is 1014.0. In 2019-07-13 00:00:00, the news that had the Long-Term Effect on Future Load Consumption is that New changes to lending criteria will give potential buyers the opportunity to borrow more, providing them with a better chance to achieve home ownership. The region that may be influenced is Australia. The rationality is that Changes in lending criteria and increased borrowing capacity can lead to a surge in home ownership, which would likely result in population growth, urbanization, and increased use of residential energy over the long term.In 2019-07-13 14:46:00, the news that had the Short-Term Effect on Today's Load Consumption is that Melburnians could be forgiven for thinking it had snowed in the suburbs after heavy hail blanketed roads and turned footy fields into an icy, snowlike winter wonderland. SEE THE PICTURES. The region that may be influenced is VIC. The rationality is that The sudden cold weather and hail can cause an immediate increase in energy use due to people turning up their heaters to stay warm, which would raise the load consumption in a short-term period.In 2019-07-13 08:51:00, the news that had the Real-Time Direct Effect on Today's Load Consumption is that Sydney Airport is in chaos as flights have been cancelled or delayed due to strong wild wing gusts sweeping through the state. The region that may be influenced is NSW. The rationality is that The cancellation and delays at Sydney Airport due to wild winds could result in a direct, immediate decrease in load consumption because of reduced operations and less energy usage at the airport and affected businesses.",