[:         "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 2019-4-3 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 2019-4-4 that is Weekday, and it is not a public holiday. Weather of the start date: the minimum temperature is 291.05; the maximum temperature is 300.28; the humidity is 68.0; the pressure is 1024.0.  Weather of the prediction date: the minimum temperature is 290.76; the maximum temperature is 299.89; the humidity is 72.0; the pressure is 1025.0. There is no suitable news for long-term effect on future load consumption.In 2019-04-03 19:37:00, the news that had the Short-Term Effect on Today's Load Consumption is that Two separate crashes are causing major headaches for evening commuters, bringing traffic to a standstill on major roads in Brisbane\u2019s CBD and the M1 south of Brisbane. The region that may be influenced is QLD. The rationality is that Traffic jams caused by the crashes could result in an increase in load consumption due to delayed commuters, the use of detours increasing travel times, and potential increased usage of street lighting and traffic control systems responding to the incidents.There is no suitable news for Real-Time Direct Effect on Today's Load Consumption.",