[:         "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 2019-11-16 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 2019-11-17 that is Weekend, and it is not a public holiday. Weather of the start date: the minimum temperature is 282.16; the maximum temperature is 293.1; the humidity is 49.5; the pressure is 1024.0.  Weather of the prediction date: the minimum temperature is 284.37; the maximum temperature is 304.64; the humidity is 31.0; the pressure is 1017.0. In 2019-11-16 23:00:00, the news that had the Long-Term Effect on Future Load Consumption is that Population Growth: Leads to higher residential energy consumption. The region that may be influenced is No specific region mentioned. The rationality is that Population growth is a significant driver for long-term energy load as more people means increased residential, commercial, and industrial activities that require energy.In 2019-11-16 15:10:00, the news that had the Short-Term Effect on Today's Load Consumption is that New hunger hot-spots are emerging across Australia as Foodbank Australia\u2019s CEO says drought is leaving people without daily meals. The region that may be influenced is Australia-wide. The rationality is that This news suggests a higher demand for aid and community support services which may lead to additional load consumption as resources are mobilized.In 2019-11-16 23:12:00, the news that had the Real-Time Direct Effect on Today's Load Consumption is that A pilot has also been seriously injured in a light plane crash in South Australia which brought down power lines and caused outages. The region that may be influenced is South Australia. The rationality is that The plane crash directly affects load consumption as it caused power outages, thus reducing the electricity supply until repairs can be made.",