[:         "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 2020-2-19 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 2020-2-20 that is Weekday, and it is not a public holiday. Weather of the start date: the minimum temperature is 288.68; the maximum temperature is 297.72; the humidity is 68.0; the pressure is 1011.0.  Weather of the prediction date: the minimum temperature is 291.79; the maximum temperature is 297.87; the humidity is 68.0; the pressure is 1016.0. There is no suitable news for long-term effect on future load consumption.In 2020-02-19 08:34:00, the news that had the Short-Term Effect on Today's Load Consumption is that A month\u2019s worth of rain has soaked some parts of Melbourne, just hours after heavy storms and hail battered the city. The SES is still helping mop the mess up after being inundated by calls for help as roads flooded and trees collapsed \u2014 this is where the most rain fell. The region that may be influenced is VIC. The rationality is that Severe storms and flooding can cause immediate and significant damage to infrastructure, including power lines and electrical grids. The additional usage of utilities for cleanup processes, water removal, emergency services, and temporary housing can lead to a short-term spike in load consumption.In 2020-02-19 02:02:00, the news that had the Real-Time Direct Effect on Today's Load Consumption is that A 37-year-old man walking along the street in Sydney\u2019s The Rocks has died after a flying gas bottle struck him during last night\u2019s fierce storms. The region that may be influenced is NSW. The rationality is that Extreme weather events like fierce storms have an immediate impact on load consumption. Such events often prompt citizens to increase their use of heating or cooling systems based on the temperature fluctuation, emergency equipment, and lighting during power outages, potentially causing a direct real-time effect on load consumption.",