[:         "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 2020-2-5 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 2020-2-6 that is Weekday, and it is not a public holiday. Weather of the start date: the minimum temperature is 293.33; the maximum temperature is 296.82; the humidity is 100.0; the pressure is 1015.0.  Weather of the prediction date: the minimum temperature is 294.06; the maximum temperature is 301.45; the humidity is 88.0; the pressure is 1014.0. There is no suitable news for long-term effect on future load consumption.In 2020-02-05 16:08:00, the news that had the Short-Term Effect on Today's Load Consumption is that As eastern Australia sees some of its heaviest rainfall in 20 years, Western Australia is bracing themselves for a tropical cyclone. The region that may be influenced is Eastern Australia and Western Australia. The rationality is that Severe weather events like heavy rainfall and tropical cyclones typically lead to short-term increases in energy consumption due to the use of climate control systems, and disruption to energy supply may require load adjustments.In 2020-02-05 23:53:00, the news that had the Real-Time Direct Effect on Today's Load Consumption is that In 2020-02-05 23:53:00, the news was published that A Canadian man\u2019s 'really weird' quip about the deadly coronavirus has lead to a plane being grounded \u2014 and his arrest. The region that may be influenced is Region not specified, potentially applicable to airport location. The rationality is that The grounding of a plane and the associated emergency response can lead to immediate but typically local changes in electricity consumption at the affected airport or facilities.",