[:         "input": "Based on the historical load data, please predict the load consumption in the next day. The region for prediction is QLD. The start date of historical data was on 2020-9-19 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 2020-9-20 that is Weekend, and it is not a public holiday. Weather of the start date: the minimum temperature is 290.09; the maximum temperature is 300.26; the humidity is 82.0; the pressure is 1020.0.  Weather of the prediction date: the minimum temperature is 290.17; the maximum temperature is 301.36; the humidity is 83.0; the pressure is 1018.0. There is no suitable news for long-term effect on future load consumption.In 2020-09-19 17:12:00, the news that had the Short-Term Effect on Today's Load Consumption is that An outback town in New South Wales has gotten 15 millimetres of rain in just 15 minutes with the SES rushing to three rescues because of flash flooding. The region that may be influenced is NSW. The rationality is that Extreme weather conditions, such as flash flooding, can prompt short-term changes in electric load consumption due to power outages, the temporary closure of businesses, and emergency responses that alter typical energy usage patterns.In 2020-09-19 08:28:00, the news that had the Real-Time Direct Effect on Today's Load Consumption is that There have been three new cases of coronavirus in NSW, including a hospital worker at Concord who was treating COVID patients. The region that may be influenced is NSW. The rationality is that The immediate discovery of new coronavirus cases, specifically involving a hospital worker, could lead to increased load consumption in the healthcare sector as additional resources are allocated to testing, treating, and containing the virus, thereby causing a surge in energy demand in real-time.",