[:         "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 2019-11-1 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 2019-11-2 that is Weekend, and it is not a public holiday. Weather of the start date: the minimum temperature is 288.81; the maximum temperature is 295.37; the humidity is 73.25; the pressure is 1009.75.  Weather of the prediction date: the minimum temperature is 286.75; the maximum temperature is 291.64; the humidity is 64.0; the pressure is 1015.0. There is no suitable news for long-term effect on future load consumption.In 2019-11-01 16:32:00, the news that had the Short-Term Effect on Today's Load Consumption is that Wet weather and a multi-vehicle crash are contributing to heavy traffic congestion around Brisbane this afternoon. The region that may be influenced is QLD. The rationality is that Inclement weather and traffic incidents can cause immediate fluctuations in energy consumption due to changes in driving behavior. People may alter their travel plans, leading to increased use of public transportation or creating traffic congestion that results in more idling vehicles, potentially leading to a short-term spike in fuel consumption and indirectly affecting overall energy use patterns.There is no suitable news for Real-Time Direct Effect on Today's Load Consumption.",