[:         "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 2019-7-8 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 2019-7-9 that is Weekday, and it is not a public holiday. Weather of the start date: the minimum temperature is 280.68; the maximum temperature is 290.22; the humidity is 62.0; the pressure is 1021.0.  Weather of the prediction date: the minimum temperature is 279.06; the maximum temperature is 289.78; the humidity is 66.0; the pressure is 1018.0. There is no suitable news for long-term effect on future load consumption.In 2019-07-08 20:07:00, the news that had the Short-Term Effect on Today's Load Consumption is that A picturesque southern suburbs street has been flooded and its houses pelted with rocks after its second burst pipe in a day. The same street has had four bursts in two years. The region that may be influenced is SA. The rationality is that The physical damage to infrastructure, such as the burst water pipe, may lead to an immediate increase in load consumption as repairs and cleanup operations often require additional energy for equipment like pumps and other machinery.In 2019-07-08 20:07:00, the news that had the Real-Time Direct Effect on Today's Load Consumption is that Footage of a cruise ship narrowly missing a dock in Venice has been captured, after the liner hit a severe storm with strong winds in the region. The region that may be influenced is WA. The rationality is that Severe weather conditions such as storms with strong winds could lead to power outages and grid instability. This can result in a real-time direct effect on the load consumption, potentially causing fluctuations and a temporary decrease in energy use as systems shut down for safety.",