[:         "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 2019-11-27 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 2019-11-28 that is Weekday, and it is not a public holiday. Weather of the start date: the minimum temperature is 294.8; the maximum temperature is 301.56; the humidity is 73.0; the pressure is 1017.0.  Weather of the prediction date: the minimum temperature is 295.47; the maximum temperature is 304.21; the humidity is 78.0; the pressure is 1018.0. In 2019-11-27 12:44:00, the news that had the Long-Term Effect on Future Load Consumption is that A bleak new report shows carbon emissions rose to a new high last year and says countries need to make steep cuts in order to reach targets. The region that may be influenced is General Australia. The rationality is that This news highlights environmental concerns and the need for action on climate change, which could lead to policy changes promoting energy efficiency and a transition to renewable energy sources that may impact long-term load consumption.In 2019-11-27 03:44:00, the news that had the Short-Term Effect on Today's Load Consumption is that Tens of thousands of Sydney homes are still without power this morning after a fast-moving storm of strong winds and hail lashed the city. The region that may be influenced is NSW. The rationality is that The disruption to power supply caused by a storm results in a short-term decrease in load consumption due to outages and damages to the grid infrastructure that need immediate repair.In 2019-11-27 16:45:00, the news that had the Real-Time Direct Effect on Today's Load Consumption is that Trains have been suspended on parts of Sydney\u2019s rail network because of a fire and a fatality this afternoon, leaving platforms 'dangerously crowded'. The region that may be influenced is NSW. The rationality is that The suspension of train services due to emergencies involves immediate rerouting of commuters, likely increasing the demand for electrically powered substitutes, such as trams or electric buses, resulting in a real-time increase in load consumption for public transport.",