[:         "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 2019-4-28 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 2019-4-29 that is Weekday, and it is not a public holiday. Weather of the start date: the minimum temperature is 288.53; the maximum temperature is 297.93; the humidity is 93.0; the pressure is 1022.0.  Weather of the prediction date: the minimum temperature is 289.3; the maximum temperature is 295.99; the humidity is 82.0; the pressure is 1022.0. In 2019-04-28 22:30:00, the news that had the Long-Term Effect on Future Load Consumption is that It\u2019s been the driest ever first four months of the year \u2014 but we\u2019re about to finally get up to four days of downpours as May arrives. The region that may be influenced is Various regions across Australia. The rationality is that Sustained weather patterns like prolonged dry periods followed by significant rainfall can influence long-term planning and infrastructure related to energy consumption. Changes in weather can affect agricultural, water management, and energy sectors, possibly leading to shifts in energy policy and investment in renewable sources or infrastructure upgrades.In 2019-04-28 20:17:00, the news that had the Short-Term Effect on Today's Load Consumption is that An online threat has prompted a police operation around Australia\u2019s largest synagogue in Sydney\u2019s east. The region that may be influenced is NSW. The rationality is that The immediate response to the online threat may lead to increased activity in the area with heightened security and energy usage due to possible increased lighting, communication systems, and surveillance equipment operating over a short period.There is no suitable news for Real-Time Direct Effect on Today's Load Consumption.",