[:         "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 2019-12-14 that is Weekend, 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 2019-12-15 that is Weekend, and it is not a public holiday. Weather of the start date: the minimum temperature is 285.55; the maximum temperature is 301.72; the humidity is 70.25; the pressure is 1012.75.  Weather of the prediction date: the minimum temperature is 289.52; the maximum temperature is 305.76; the humidity is 15.5; the pressure is 1013.25. There is no suitable news for long-term effect on future load consumption.In 2019-12-14 12:20:00, the news that had the Short-Term Effect on Today's Load Consumption is that Residents are fleeing the tiny WA town of Two Rocks as an out-of-control bushfire roars in during the state\u2019s blistering heatwave. The region that may be influenced is WA. The rationality is that Due to the out-of-control bushfire combined with the heatwave, there is likely an increased use of air conditioning and possibly higher energy usage due to emergency services and disaster response efforts.In 2019-12-14 13:45:00, the news that had the Real-Time Direct Effect on Today's Load Consumption is that Sydney\u2019s much-maligned CBD light rail system has broken down just hours after the new service began taking passengers. The region that may be influenced is NSW. The rationality is that The breakdown of Sydney\u2019s CBD light rail system may cause an immediate shift in energy consumption patterns due to disruptions in public transportation and the potential need for increased energy to resolve the issue and manage the effects of the system's outage.",