[:         "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 2020-7-11 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 2020-7-12 that is Weekend, and it is not a public holiday. Weather of the start date: the minimum temperature is 282.17; the maximum temperature is 290.11; the humidity is 93.0; the pressure is 1016.0.  Weather of the prediction date: the minimum temperature is 281.15; the maximum temperature is 288.9; the humidity is 93.0; the pressure is 1018.0. There is no suitable news for long-term effect on future load consumption.In 2020-07-11 15:47:00, the news that had the Short-Term Effect on Today's Load Consumption is that It could be an ugly week of wild weather with a huge storm, damaging winds and rain heading for the east coast of Australia. The region that may be influenced is East Coast, Australia. The rationality is that The forecast of wild storms and extreme weather conditions may lead to increased energy consumption as residents prepare for the event, utilize more lighting due to poor visibility, and run heating or cooling devices to maintain comfortable indoor environments, suggesting a short-term spike in load consumption.There is no suitable news for Real-Time Direct Effect on Today's Load Consumption.",