[:         "input": "Based on the historical load data, please predict the load consumption in the next day. The region for prediction is VIC. The start date of historical data was on 2019-6-3 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 2019-6-4 that is Weekday, and it is not a public holiday. Weather of the start date: the minimum temperature is 280.7; the maximum temperature is 285.42; the humidity is 76.0; the pressure is 1026.0.  Weather of the prediction date: the minimum temperature is 281.67; the maximum temperature is 285.28; the humidity is 79.0; the pressure is 1032.0. In 2019-06-03 09:52:00, the news that had the Long-Term Effect on Future Load Consumption is that Wild weather is set to lash Australia from Victoria to New South Wales. Authorities have now issued an urgent warning for a 1000km area. The region that may be influenced is VIC/NSW. The rationality is that Severe weather patterns and climate change have significant long-term effects on energy infrastructure, demands for heating/cooling, and can influence the development of renewable energy projects.In 2019-06-03 17:51:00, the news that had the Short-Term Effect on Today's Load Consumption is that Tremors have been felt in Darwin after an earthquake hit waters off the Maluku Islands of Indonesia. The region that may be influenced is SA. The rationality is that Natural disasters like earthquakes can lead to sudden changes in energy consumption due to damages in infrastructure, thereby affecting load consumption in the short term.In 2019-06-03 17:33:00, the news that had the Real-Time Direct Effect on Today's Load Consumption is that Peak-hour traffic on the Pacific Motorway, Riverside Expressway and Coronation Drive has slowed to a standstill between Greenslopes and Toowong following a crash. The region that may be influenced is QLD. The rationality is that Traffic congestion during peak hours increases fuel consumption and may cause a spike in real-time load consumption as more vehicles are on the road, potentially leading to increased use of traffic signals, and emergency services.",