[:         "input": "Based on the historical load data, please predict the load consumption in the next day. The region for prediction is QLD. The start date of historical data was on 2019-3-4 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 2019-3-5 that is Weekday, and it is not a public holiday. Weather of the start date: the minimum temperature is 293.31; the maximum temperature is 302.75; the humidity is 65.0; the pressure is 1018.0.  Weather of the prediction date: the minimum temperature is 294.71; the maximum temperature is 305.1; the humidity is 83.0; the pressure is 1015.0. There is no suitable news for long-term effect on future load consumption.There is no suitable news for Short-Term Effect on Today's Load Consumption.In 2019-03-04 22:58:00, the news that had the Real-Time Direct Effect on Today's Load Consumption is that Cooler conditions and rain have given crews a reprieve as they try to contain bushfires threatening Dargo and Bunyip in Victoria\u2019s east. The region that may be influenced is VIC. The rationality is that The immediate impact of cooler weather and rainfall can directly reduce the usage of air conditioning and other cooling systems, thus lowering the load consumption in real-time. As the emergency situation with bushfires eases temporarily due to these weather conditions, the associated energy demand for emergency services and crisis management might also decrease.",