[:         "input": "Based on the historical load data, please predict the load consumption in the next day. The region for prediction is SA. The start date of historical data was on 2020-3-26 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 2020-3-27 that is Weekday, and it is not a public holiday. Weather of the start date: the minimum temperature is 284.95; the maximum temperature is 300.38; the humidity is 70.5; the pressure is 1022.0.  Weather of the prediction date: the minimum temperature is 288.88; the maximum temperature is 303.5; the humidity is 32.0; the pressure is 1016.0. In 2020-03-26 11:22:00, the news that had the Long-Term Effect on Future Load Consumption is that A Chinese government-backed company amassed Australia\u2019s supplies of masks, hand sanitiser, antibacterial wipes and shipped them to China. The region that may be influenced is NSW. The rationality is that This news could have long-term implications on load consumption as it reflects pivotal supply chain dynamics and hints at potential future regulations or strategic reserves for medical supplies, which would require additional energy for storage and management facilities.In 2020-03-26 12:01:00, the news that had the Short-Term Effect on Today's Load Consumption is that The news director of Sydney's biggest radio station 2GB has tested positive to coronavirus. The region that may be influenced is NSW. The rationality is that The immediate response to such an incident, such as the deep cleaning of offices or temporary shutdown of facilities for sanitization, would lead to a short-term fluctuation in electricity consumption in the area.There is no suitable news for Real-Time Direct Effect on Today's Load Consumption.",