[:         "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 2019-10-12 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 2019-10-13 that is Weekend, and it is not a public holiday. Weather of the start date: the minimum temperature is 289.42; the maximum temperature is 295.86; the humidity is 20.25; the pressure is 1010.0.  Weather of the prediction date: the minimum temperature is 286.01; the maximum temperature is 291.37; the humidity is 69.75; the pressure is 1015.75. In 2019-10-12 11:26:00, the news that had the Long-Term Effect on Future Load Consumption is that The Trump administration has announced it will send thousands of extra troops to Saudi Arabia, following an attack on its oil facilities. The region that may be influenced is WA. The rationality is that Significant military movements and the geopolitical tensions surrounding oil facilities can lead to changes in global energy markets, impacting long-term energy prices and consumption patterns in regions like Western Australia, which is energy-intensive due to mining activities.In 2019-10-12 12:27:00, the news that had the Short-Term Effect on Today's Load Consumption is that Two men have died, dozens of homes burnt down and 100,000 people were forced to evacuate as LA\u2019s raging 28 sqkm wildfire. The region that may be influenced is NSW. The rationality is that Large wildfires, even though occurring in LA, can influence short-term energy consumption patterns in regions like NSW if there is a local perception of increased risk leading to preventive measures that may include heightened energy use for emergency services, air filtration, or cooling systems in case of heatwaves associated with such fires.There is no suitable news for Real-Time Direct Effect on Today's Load Consumption.",