[:         "input": "Based on the historical load data, please predict the load consumption in the next day. The region for prediction is NSW. The start date of historical data was on 2019-10-24 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 2019-10-25 that is Weekday, and it is not a public holiday. Weather of the start date: the minimum temperature is 290.18; the maximum temperature is 308.97; the humidity is 22.0; the pressure is 1012.0.  Weather of the prediction date: the minimum temperature is 294.37; the maximum temperature is 303.9; the humidity is 28.0; the pressure is 1003.0. In 2019-10-24 12:50:00, the news that had the Long-Term Effect on Future Load Consumption is that The Queensland Government will appeal the sentence of Kmart child attacker Sterling Free, and says the penalty was too light. The region that may be influenced is QLD. The rationality is that Changes in policy and regulation can have a long-term impact on energy consumption patterns by influencing how justice and corrective measures are enforced, which can affect social behavior and community infrastructure.In 2019-10-24 11:10:00, the news that had the Short-Term Effect on Today's Load Consumption is that Aussies are bracing for boiling hot weather over the next few days \u2014 but one town has already sweated through its hottest October day in a century. The region that may be influenced is General/Australia-wide. The rationality is that Extreme weather, especially heat, can lead to an increased use of air conditioning systems which would boost energy load consumption in the short-term.In 2019-10-24 20:25:00, the news that had the Real-Time Direct Effect on Today's Load Consumption is that Five firefighters have been treated for heat-related stress while battling a bushfire in the Murraylands, which continues to burn this morning. The region that may be influenced is SA. The rationality is that A bushfire can cause an immediate disruption in power supply due to damage to infrastructure. It may also cause changes in consumption patterns within the region due to emergency response measures.",