[:         "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 2019-2-27 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 2019-2-28 that is Weekday, and it is not a public holiday. Weather of the start date: the minimum temperature is 291.56; the maximum temperature is 301.59; the humidity is 65.0; the pressure is 1024.0.  Weather of the prediction date: the minimum temperature is 291.97; the maximum temperature is 301.84; the humidity is 59.0; the pressure is 1025.0. In 2019-02-27 18:45:00, the news that had the Long-Term Effect on Future Load Consumption is that Labor has pledged $400 million to help cyclists have more authority on the roads and fight back against the \u201cwar\u201d from motorists. The region that may be influenced is Australia. The rationality is that Investment in cycling infrastructure and support for cyclists can lead to a long-term shift in transportation habits. As cycling becomes safer and more convenient, more individuals may opt for bicycles over cars for commuting, reducing long-term load consumption for transportation.There is no suitable news for Short-Term Effect on Today's Load Consumption.In 2019-02-27 19:52:00, the news that had the Real-Time Direct Effect on Today's Load Consumption is that A busy street in Brisbane\u2019s inner city will be closed for eight hours due to a broken water main. The region that may be influenced is QLD. The rationality is that The closure of a busy street could lead to traffic rerouting, which could potentially result in increased load consumption due to more vehicles idling and contributing to heightened congestion in the surrounding areas as people take alternative routes. Emergency response and repair efforts may also require temporary lighting or machinery that consumes electricity.",