[:         "input": "Based on the historical load data, please predict the load consumption in the next day. The region for prediction is SA. The start date of historical data was on 2019-12-5 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 2019-12-6 that is Weekday, and it is not a public holiday. Weather of the start date: the minimum temperature is 284.37; the maximum temperature is 295.17; the humidity is 59.75; the pressure is 1016.0.  Weather of the prediction date: the minimum temperature is 283.23; the maximum temperature is 296.77; the humidity is 55.75; the pressure is 1018.0. In 2019-12-05 23:41:00, the news that had the Long-Term Effect on Future Load Consumption is that In 2019-12-05 23:41:00, the news was published that Tourists have been blamed for a growing crisis in Bali that\u2019s threatening food, culture and way of life on the drought-stricken island. The region that may be influenced is No specific Australian region mentioned. The rationality is that The news indicates an environmental issue that could prompt changes in regional policies to manage resources and could affect energy consumption patterns in the long term.There is no suitable news for Short-Term Effect on Today's Load Consumption.In 2019-12-05 23:35:00, the news that had the Real-Time Direct Effect on Today's Load Consumption is that In 2019-12-05 23:35:00, the news was published that There are multiple emergency fires still burning across NSW, with firefighters fearing some of the blazes could join to create a mega fire. The region that may be influenced is NSW. The rationality is that The emergency fires require immediate response which potentially increases the load consumption due to the need for additional resources, such as increased operations in emergency services and potential use of electric pumps for firefighting.",