[:         "input": "Based on the historical load data, please predict the load consumption in the next day. The region for prediction is VIC. The start date of historical data was on 2020-5-18 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 2020-5-19 that is Weekday, and it is not a public holiday. Weather of the start date: the minimum temperature is 283.58; the maximum temperature is 290.68; the humidity is 71.0; the pressure is 1024.0.  Weather of the prediction date: the minimum temperature is 283.47; the maximum temperature is 289.56; the humidity is 87.0; the pressure is 1011.0. In 2020-05-18 15:31:00, the news that had the Long-Term Effect on Future Load Consumption is that For the past half century, demand for housing, and the accompanying property price growth, has been driven in part by population growth \u2013 but that could be about to change. The region that may be influenced is Australia-wide. The rationality is that Shifts in housing demand and population growth trends significantly influence energy demands for residential areas in the long-term, which could lead to changes in load consumption patterns across Australia.In 2020-05-18 12:02:00, the news that had the Short-Term Effect on Today's Load Consumption is that Commuters on trains and buses in Sydney will see stickers popping up. And they herald a big change that could spark long delays. The region that may be influenced is NSW. The rationality is that Changes in public transportation, such as the implementation of social distancing measures reflected by stickers on trains and buses, are likely to shift commute patterns. This can result in a short-term shift in energy consumption patterns, particularly in the NSW region during peak transit times.In 2020-05-18 18:52:00, the news that had the Real-Time Direct Effect on Today's Load Consumption is that All school students in NSW will return to full-time classes in days as coronavirus restrictions ease across the state. The region that may be influenced is NSW. The rationality is that The return of students to in-person schooling potentially increases the daytime electricity demand in educational facilities due to the usage of lighting, HVAC systems, and electronic devices.",