[:         "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 2019-6-20 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 2019-6-21 that is Weekday, and it is not a public holiday. Weather of the start date: the minimum temperature is 278.54; the maximum temperature is 287.56; the humidity is 65.0; the pressure is 1022.0.  Weather of the prediction date: the minimum temperature is 278.76; the maximum temperature is 287.67; the humidity is 65.0; the pressure is 1025.0. In 2019-06-20 18:42:00, the news that had the Long-Term Effect on Future Load Consumption is that In 2019-06-20 18:42:00, the news was published that The airline excitedly announced a raft of changes to its frequent flyer this week, but they might end up disappointing its most loyal travellers the most. The region that may be influenced is NSW. The rationality is that Changes to frequent flyer programs could lead to modifications in how people book travel or affect airline choice, potentially impacting business travel and tourism-related energy consumption over the long term.There is no suitable news for Short-Term Effect on Today's Load Consumption.There is no suitable news for Real-Time Direct Effect on Today's Load Consumption.",