[:         "input": "Based on the historical load data, please predict the load consumption in the next day. The region for prediction is NSW. The start date of historical data was on 2019-6-17 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 2019-6-18 that is Weekday, and it is not a public holiday. Weather of the start date: the minimum temperature is 283.94; the maximum temperature is 291.4; the humidity is 88.0; the pressure is 1019.0.  Weather of the prediction date: the minimum temperature is 279.89; the maximum temperature is 289.14; the humidity is 66.0; the pressure is 1021.0. There is no suitable news for long-term effect on future load consumption.In 2019-06-17 13:03:00, the news that had the Short-Term Effect on Today's Load Consumption is that Sydney has battled heavy rainfall all afternoon, which has disrupted public transport and created hazardous driving conditions in some areas. The region that may be influenced is NSW. The rationality is that The inclement weather can lead to an increase in load consumption due to more people staying indoors, using heating or other electrical appliances, and a higher demand for public transportation services that rely on electricity.There is no suitable news for Real-Time Direct Effect on Today's Load Consumption.",