[:         "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 2019-6-8 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 2019-6-9 that is Weekend, and it is not a public holiday. Weather of the start date: the minimum temperature is 282.77; the maximum temperature is 290.76; the humidity is 79.0; the pressure is 1022.0.  Weather of the prediction date: the minimum temperature is 286.45; the maximum temperature is 290.39; the humidity is 75.0; the pressure is 1010.0. There is no suitable news for long-term effect on future load consumption.In 2019-06-08 23:00:00, the news that had the Short-Term Effect on Today's Load Consumption is that As the weather turns cooler around Sydney, it\u2019s a great time to take advantage of all the fresh seafood on offer from around the country \u2014 and there are more choices than just the usual barramundi or salmon out there this season. The region that may be influenced is NSW. The rationality is that The mention of cooler weather implies reduced use of heating systems in the short-term, slightly decreasing energy consumption in residential and commercial buildings for the period.In 2019-06-08 10:30:00, the news that had the Real-Time Direct Effect on Today's Load Consumption is that Social media has erupted as dramatic photos emerge appearing to show Sydney\u2019s iconic skyline \u201cdisappearing\u201d under a blanket of fog. The region that may be influenced is NSW. The rationality is that The fog can result in increased use of lighting and possibly heating, as visibility is reduced and temperatures may drop. This can cause a real-time increase in load consumption, especially in the affected region.",