[:         "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 2019-2-12 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 2019-2-13 that is Weekday, and it is not a public holiday. Weather of the start date: the minimum temperature is 286.32; the maximum temperature is 294.24; the humidity is 53.5; the pressure is 1015.75.  Weather of the prediction date: the minimum temperature is 285.23; the maximum temperature is 296.47; the humidity is 50.75; the pressure is 1021.75. In 2019-02-12 10:34:50, the news that had the Long-Term Effect on Future Load Consumption is that The State Government has announced a major expansion at the Queensland Children\u2019s Hospital with 24 extra beds to be added. The region that may be influenced is QLD. The rationality is that Hospital expansions indicate population growth and increased healthcare services which will lead to higher energy consumption over the long term as the facilities continue to operate and potentially expand further.In 2019-02-12 05:42:00, the news that had the Short-Term Effect on Today's Load Consumption is that NSW is waking up to a total fire ban as hot and windy weather puts the state\u2019s fire brigades on edge. The region that may be influenced is NSW. The rationality is that Total fire ban due to hot and windy conditions suggests an increase in temperature, which will likely lead to a rise in the use of air conditioning systems, boosting the short-term energy consumption.There is no suitable news for Real-Time Direct Effect on Today's Load Consumption.",