[:         "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 2020-9-17 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 2020-9-18 that is Weekday, and it is not a public holiday. Weather of the start date: the minimum temperature is 289.12; the maximum temperature is 298.25; the humidity is 42.25; the pressure is 1017.75.  Weather of the prediction date: the minimum temperature is 290.66; the maximum temperature is 297.38; the humidity is 69.0; the pressure is 1010.0. There is no suitable news for long-term effect on future load consumption.In 2020-09-17 17:16:00, the news that had the Short-Term Effect on Today's Load Consumption is that Sydney\u2019s temperature soared over 30 on Thursday before a \u2018southerly bluster\u2019 rolled in, marking the start of a wet weekend. The region that may be influenced is NSW. The rationality is that The rise in temperature above 30 degrees Celsius is likely to increase the use of air conditioning systems, leading to a short-term increase in electrical load consumption. Seasonal factors like weather conditions can have immediate effects on energy usage patterns.There is no suitable news for Real-Time Direct Effect on Today's Load Consumption.",