[:         "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 2019-2-13 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 2019-2-14 that is Weekday, and it is not a public holiday. Weather of the start date: the minimum temperature is 297.94; the maximum temperature is 303.28; the humidity is 65.0; the pressure is 1011.0.  Weather of the prediction date: the minimum temperature is 295.77; the maximum temperature is 303.08; the humidity is 54.0; the pressure is 1018.0. There is no suitable news for long-term effect on future load consumption.In 2019-02-13 17:06:00, the news that had the Short-Term Effect on Today's Load Consumption is that A massive power outage on Sydney\u2019s north shore has seen people trapped in lifts and traffic lights go dead with no prospect of the electricity being restored any time soon. The region that may be influenced is NSW. The rationality is that Power outages lead to immediate disruption in load consumption patterns as electricity utility providers work to reroute or restore power, affecting the regular consumption forecast for that period.In 2019-02-13 02:02:00, the news that had the Real-Time Direct Effect on Today's Load Consumption is that The dust storms that have been enveloping much of NSW indeed have hit Sydney overnight. But down in Melbourne, it\u2019s duvet weather. The region that may be influenced is NSW/VIC. The rationality is that Dust storms can lead to increased use of HVAC systems to maintain air quality and temperatures inside buildings, directly affecting the real-time energy load of the affected areas.",