[:         "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 2019-10-9 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 2019-10-10 that is Weekday, and it is not a public holiday. Weather of the start date: the minimum temperature is 280.14; the maximum temperature is 292.42; the humidity is 53.75; the pressure is 1025.75.  Weather of the prediction date: the minimum temperature is 281.87; the maximum temperature is 293.48; the humidity is 48.75; the pressure is 1020.0. In 2019-10-09 18:17:00, the news that had the Long-Term Effect on Future Load Consumption is that A Queensland farmer has killed the last of his dairy cows after the \u201cdirty rotten bastards\u201d at Coles and Woolies slashed the prices of milk. The region that may be influenced is QLD. The rationality is that The news about the Queensland farmer's plight reflects agricultural challenges which might have long-term implications on the region's load consumption. A decline in farming could lead to less energy demand in the agricultural sector of Queensland.In 2019-10-09 22:06:00, the news that had the Short-Term Effect on Today's Load Consumption is that Queensland\u2019s Lockyer Valley has been described as a \u201cburning cauldron\u201d with bushfires tearing through 10,000 hectares but miraculously only claiming one house. The region that may be influenced is QLD. The rationality is that Bushfires in the Lockyer Valley may cause increased load consumption short-term due to higher demands for emergency services, disaster response, and affected communities possibly relying more on electrically powered utilities.There is no suitable news for Real-Time Direct Effect on Today's Load Consumption.",