[:         "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 2020-2-13 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 2020-2-14 that is Weekday, and it is not a public holiday. Weather of the start date: the minimum temperature is 292.61; the maximum temperature is 304.27; the humidity is 58.0; the pressure is 1007.0.  Weather of the prediction date: the minimum temperature is 289.92; the maximum temperature is 293.69; the humidity is 100.0; the pressure is 1010.0. There is no suitable news for long-term effect on future load consumption.In 2020-02-13 08:38:00, the news that had the Short-Term Effect on Today's Load Consumption is that There\u2019s peak-hour train chaos in Melbourne after a police incident left thousands of commuters stranded with a one-hour wait for buses. The region that may be influenced is VIC. The rationality is that The immediate disruption of public transport likely shifted the electricity demand pattern, potentially leading to increased use of alternative transport options such as electric vehicles or causing significant changes in commercial and residential energy use due to altered commuting patterns.In 2020-02-13 08:59:00, the news that had the Real-Time Direct Effect on Today's Load Consumption is that A monster storm has left parts of southeast Queensland underwater, submerging vehicles and causing chaos on major motorways. The region that may be influenced is QLD. The rationality is that Severe weather events like a monster storm can result in direct, immediate disruptions to the energy infrastructure and consumption, including damages causing power outages, increased demand for emergency services, and a significant shift in energy use patterns as residents deal with the storm's impacts.",