[:         "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 2019-4-30 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 2019-5-1 that is Weekday, and it is not a public holiday. Weather of the start date: the minimum temperature is 288.3; the maximum temperature is 296.33; the humidity is 100.0; the pressure is 1022.0.  Weather of the prediction date: the minimum temperature is 290.18; the maximum temperature is 297.85; the humidity is 93.0; the pressure is 1025.0. There is no suitable news for long-term effect on future load consumption.There is no suitable news for Short-Term Effect on Today's Load Consumption.In 2019-04-30 17:48:00, the news that had the Real-Time Direct Effect on Today's Load Consumption is that The news was published that All Brisbane buses travelling in the CBD were experiencing delays up to 60 minutes. It followed citywide delays for drivers at peak-hour. The region that may be influenced is QLD. The rationality is that The delay in public transportation, especially during peak hours, can have a direct and immediate impact on electricity load consumption as it may alter commuting patterns. People may turn to personal electric transportation such as electric vehicles or other forms of transportation, potentially increasing charging demand. Additionally, longer operation of public transit systems to make up for delays can consume more energy.",