[:         "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 2019-12-30 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 2019-12-31 that is Weekday, and it is not a public holiday. Weather of the start date: the minimum temperature is 294.84; the maximum temperature is 302.74; the humidity is 94.0; the pressure is 1015.0.  Weather of the prediction date: the minimum temperature is 294.76; the maximum temperature is 304.43; the humidity is 69.0; the pressure is 1015.0. In 2019-12-30 00:27:00, the news that had the Long-Term Effect on Future Load Consumption is that A \"a very serious life-threatening situation\" still exists in Victoria's East Gippsland, while South Australia's Adelaide Hills braces for \"catastrophic\" heat. The region that may be influenced is VIC/SA. The rationality is that Extreme weather conditions can lead to systemic changes in energy infrastructure and consumption patterns. In the long term, recurrent events like these may drive advancements in energy efficiency, changes in building codes, and increased investment in renewable sources to mitigate and adapt to such conditions.In 2019-12-30 06:32:14, the news that had the Short-Term Effect on Today's Load Consumption is that A volunteer firefighter is dead and two are injured after a RFS truck crashed in southern NSW during a torrid day of bushfires. The region that may be influenced is NSW. The rationality is that Bushfire events have immediate effects on energy infrastructure and load consumption due to evacuations, property loss, damage to power lines, and increased use of emergency services which may temporarily boost energy use in certain areas while reducing it in others.There is no suitable news for Real-Time Direct Effect on Today's Load Consumption.",