[:         "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 2020-1-16 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 2020-1-17 that is Weekday, and it is not a public holiday. Weather of the start date: the minimum temperature is 295.68; the maximum temperature is 301.57; the humidity is 83.0; the pressure is 1006.0.  Weather of the prediction date: the minimum temperature is 293.84; the maximum temperature is 300.31; the humidity is 100.0; the pressure is 1004.0. There is no suitable news for long-term effect on future load consumption.In 2020-01-16 08:02:00, the news that had the Short-Term Effect on Today's Load Consumption is that A thunderstorm is descending on Sydney tonight that is expected to bring heavy rains that are much needed but could cause chaos on the roads. The region that may be influenced is NSW. The rationality is that Severe weather events can impact energy consumption in the short-term. A storm could lead to increased usage of electricity for heating or cooling, lights during daytime if it's dark and cloudy, or may cause power outages which can temporarily reduce power consumptionIn 2020-01-16 09:57:00, the news that had the Real-Time Direct Effect on Today's Load Consumption is that A 15-metre sinkhole opened up in Melbourne overnight as severe storms caused flash flooding and damaged homes across the city. The region that may be influenced is VIC. The rationality is that Severe and sudden incidents like sinkholes and flooding can result in immediate alterations to electricity consumption patterns, either through increased demand due to crisis management or outages caused by infrastructural damage",