[:         "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 2020-12-8 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 2020-12-9 that is Weekday, and it is not a public holiday. Weather of the start date: the minimum temperature is 287.19; the maximum temperature is 296.87; the humidity is 43.0; the pressure is 1020.0.  Weather of the prediction date: the minimum temperature is 289.51; the maximum temperature is 298.36; the humidity is 56.0; the pressure is 1018.0. There is no suitable news for long-term effect on future load consumption.In 2020-12-08 21:43:00, the news that had the Short-Term Effect on Today's Load Consumption is that the news was published that A jam-packed crowd at the SCG was almost inconceivable six months ago, Tuesday\u2019s match was a welcome return. The region that may be influenced is NSW. The rationality is that Large crowds at events such as sports matches can lead to a temporary increase in energy consumption due to the use of lighting, electronic displays, and other facilities. This localized event would likely lead to a short-term spike in energy consumption in the NSW region.There is no suitable news for Real-Time Direct Effect on Today's Load Consumption.",