[:         "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 2019-4-29 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 2019-4-30 that is Weekday, and it is not a public holiday. Weather of the start date: the minimum temperature is 285.62; the maximum temperature is 297.19; the humidity is 100.0; the pressure is 1023.0.  Weather of the prediction date: the minimum temperature is 288.3; the maximum temperature is 296.33; the humidity is 100.0; the pressure is 1022.0. There is no suitable news for long-term effect on future load consumption.In 2019-04-29 08:48:00, the news that had the Short-Term Effect on Today's Load Consumption is that A thick layer of smoke has enveloped Sydney this morning with warnings for people to spend as little time outdoors as possible. The region that may be influenced is NSW. The rationality is that The presence of smoke and advisories to stay indoors may cause an increase in energy consumption as more people rely on air conditioning and air filtration systems to maintain indoor air quality and comfort.In 2019-04-29 08:27:00, the news that had the Real-Time Direct Effect on Today's Load Consumption is that Thousands of angry passengers are facing major delays at airports across Australia after a mass passport control machine failure. The region that may be influenced is Various. The rationality is that The passport control machine failure and subsequent delays at airports could lead to increased energy consumption at these facilities due to extended operations, lighting, HVAC systems, and the use of additional equipment to manage the situation.",