[:         "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 2019-8-22 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 2019-8-23 that is Weekday, and it is not a public holiday. Weather of the start date: the minimum temperature is 279.24; the maximum temperature is 291.02; the humidity is 84.0; the pressure is 1025.75.  Weather of the prediction date: the minimum temperature is 283.97; the maximum temperature is 288.56; the humidity is 51.0; the pressure is 1015.5. There is no suitable news for long-term effect on future load consumption.In 2019-08-22 18:07:00, the news that had the Short-Term Effect on Today's Load Consumption is that A bushfire warning has been issued for residents in Narangba, north of Brisbane, with firefighters urging people to be ready to leave. The region that may be influenced is QLD. The rationality is that Bushfires and the consequent warnings present an immediate threat that can influence energy consumption patterns due to possible evacuations, disruptions to supply, and emergency response measures. This impacts the load consumption in the short-term.In 2019-08-22 19:12:00, the news that had the Real-Time Direct Effect on Today's Load Consumption is that For the first time in 12 years Sydney\u2019s dam storage levels have dropped below 50 per cent, despite water restrictions being in place. The region that may be influenced is NSW. The rationality is that Lower dam storage levels often lead to increased water pumping activities to manage the available water supply, which results in higher electricity usage. Energy consumption may increase as the state undertakes measures to ensure adequate water supply, having a real-time direct effect on load consumption.",