[:         "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 2019-6-12 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 2019-6-13 that is Weekday, and it is not a public holiday. Weather of the start date: the minimum temperature is 283.63; the maximum temperature is 289.16; the humidity is 94.0; the pressure is 1018.5.  Weather of the prediction date: the minimum temperature is 284.34; the maximum temperature is 288.98; the humidity is 90.25; the pressure is 1019.75. There is no suitable news for long-term effect on future load consumption.In 2019-06-12 06:28:16, the news that had the Short-Term Effect on Today's Load Consumption is that Adelaide has recorded its wettest day in more than two years after a heavy downpour swept across much of South Australia overnight. The region that may be influenced is SA. The rationality is that Heavy rainfalls and severe weather conditions can influence energy consumption patterns through increased use of heating or water pumping equipment. However, the short-term effect might be mitigated due to the specific timing and duration of the weather event.In 2019-06-12 08:15:00, the news that had the Real-Time Direct Effect on Today's Load Consumption is that Torrential rain is covering much of Victoria and the commute home is expected to be wet, windy and precarious, forecasters say. The region that may be influenced is VIC. The rationality is that Severe weather conditions such as torrential rain in Victoria can cause a direct and immediate impact on load consumption due to increased use of lighting, heating, and potential usage of emergency equipment. Commuters may also alter their usage patterns, such as increased reliance on public transportation, which can affect load consumption.",