[:         "input": "Based on the historical load data, please predict the load consumption in the next day. The region for prediction is QLD. The start date of historical data was on 2019-6-18 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 2019-6-19 that is Weekday, and it is not a public holiday. Weather of the start date: the minimum temperature is 282.61; the maximum temperature is 295.96; the humidity is 71.0; the pressure is 1018.0.  Weather of the prediction date: the minimum temperature is 285.13; the maximum temperature is 293.27; the humidity is 67.0; the pressure is 1021.0. In 2019-06-18 12:28:00, the news that had the Long-Term Effect on Future Load Consumption is that NSW has announced a record $93 billion for infrastructure, including a new train line for Western Sydney. The region that may be influenced is NSW. The rationality is that Infrastructure projects, especially new train lines, contribute to urban development and population growth, both of which can lead to increased long-term energy demand as new residential and commercial areas develop and transportation systems expand.In 2019-06-18 18:57:00, the news that had the Short-Term Effect on Today's Load Consumption is that Millions of loved-up Australians are sneaking around behind their partners\u2019 backs \u2014 and they could \u201cend up paying for it some day\u201d. The region that may be influenced is no. The rationality is that While the news might be interesting from a social perspective, it doesn't directly influence energy load consumption in any discernible way.There is no suitable news for Real-Time Direct Effect on Today's Load Consumption.",