[:         "input": "Based on the historical load data, please predict the load consumption in the next day. The region for prediction is NSW. The start date of historical data was on 2019-4-10 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 2019-4-11 that is Weekday, and it is not a public holiday. Weather of the start date: the minimum temperature is 283.81; the maximum temperature is 292.98; the humidity is 72.0; the pressure is 1026.0.  Weather of the prediction date: the minimum temperature is 286.25; the maximum temperature is 294.59; the humidity is 77.0; the pressure is 1026.0. There is no suitable news for long-term effect on future load consumption.In 2019-04-10 17:50:00, the news that had the Short-Term Effect on Today's Load Consumption is that A severe thunderstorm warning for large hailstones and damaging winds issued for parts of the state\u2019s southeast has since been cancelled. The region that may be influenced is SA. The rationality is that Weather patterns, especially severe weather warnings, can have an immediate impact on energy consumption as individuals and businesses prepare for potential power outages or changes in temperature. The cancellation of a severe weather warning may reduce the expected short-term spike in load consumption as the urgent need for preparation diminishes.There is no suitable news for Real-Time Direct Effect on Today's Load Consumption.",