[:         "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 2020-8-16 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 2020-8-17 that is Weekday, and it is not a public holiday. Weather of the start date: the minimum temperature is 282.28; the maximum temperature is 289.31; the humidity is 68.0; the pressure is 1009.0.  Weather of the prediction date: the minimum temperature is 281.85; the maximum temperature is 286.54; the humidity is 91.5; the pressure is 1002.0. There is no suitable news for long-term effect on future load consumption.In 2020-08-16 18:08:00, the news that had the Short-Term Effect on Today's Load Consumption is that A Sydney high school has suspended its trial HSC exams and students and staff are self-isolating after a student tested positive for COVID-19. The region that may be influenced is NSW. The rationality is that The closure of the school and self-isolation of students and staff would decrease energy consumption in the education sector in the short term with the reduced use of the school's facilities. Additionally, the isolation may marginally increase residential consumption as students and teachers stay at home.In no, the news that had the Real-Time Direct Effect on Today's Load Consumption is that no. The region that may be influenced is no. The rationality is that Based on the listed news items and the provided timestamp parameters, there doesn't appear to be a news event that would have a real-time direct effect on today's load consumption.",