[:         "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 2019-2-16 that is Weekend, 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 2019-2-17 that is Weekend, and it is not a public holiday. Weather of the start date: the minimum temperature is 292.08; the maximum temperature is 303.66; the humidity is 53.0; the pressure is 1014.0.  Weather of the prediction date: the minimum temperature is 292.73; the maximum temperature is 304.39; the humidity is 65.0; the pressure is 1012.0. There is no suitable news for long-term effect on future load consumption.In 2019-02-16 23:00:00, the news that had the Short-Term Effect on Today's Load Consumption is that Entertainment giants Foxtel and Netflix will co-produce an Australian TV show for the first time, and have inked a deal that is expected to see Netflix shows and movies streamed on Foxtel set-top boxes from this year. The region that may be influenced is General for Australia. The rationality is that This collaboration between Foxtel and Netflix could lead to a short-term increase in load consumption as it might create a surge in evening and nighttime energy usage. People may spend more time watching newly available shows, thus increasing the use of electronic devices and entertainment systems.In 2019-02-16 18:09:00, the news that had the Real-Time Direct Effect on Today's Load Consumption is that A two-vehicle crash has resulted in two roads in inner-city Brisbane being closed as emergency services treat a motorcyclist. The region that may be influenced is Brisbane, QLD. The rationality is that The traffic incident requiring road closures and emergency services' intervention can cause an immediate, albeit localized, increase in load consumption due to the use of emergency response equipment, traffic redirection, and possibly increased use of public transportation systems as a reaction to the traffic disruption.",