[:         "input": "Based on the historical load data, please predict the load consumption in the next day. The region for prediction is TAS. The start date of historical data was on 2020-8-23 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 2020-8-24 that is Weekday, and it is not a public holiday. Weather of the start date: the minimum temperature is 276.59; the maximum temperature is 283.46; the humidity is 75.0; the pressure is 1015.0.  Weather of the prediction date: the minimum temperature is 275.12; the maximum temperature is 285.4; the humidity is 80.0; the pressure is 1023.0. In 2020-08-23 20:27:00, the news that had the Long-Term Effect on Future Load Consumption is that Premier Gladys Berejiklian and Environment Minister Matt Kean have announced a new national park designed to stop koalas being wiped out in the next 30 years. The region that may be influenced is NSW. The rationality is that The creation of a new national park is indicative of long-term planning for environmental conservation. This can affect load consumption through the preservation of natural areas and by potentially influencing future land use and energy policies that promote sustainability and prioritization of renewable energy sources.In 2020-08-23 09:59:00, the news that had the Short-Term Effect on Today's Load Consumption is that Chief Health Officer Brett Sutton is determined Victoria\u2019s COVID-19 numbers will be driven down and remain low, saying the state would not see days of 300-plus new cases again. It comes as 17 Victorians died of coronavirus overnight, with a further 208 new cases recorded. The region that may be influenced is VIC. The rationality is that The ongoing Covid-19 situation and the direct response by health officials can have an immediate effect on energy consumption patterns due to changes in people's behavior, business operations, and governmental responses such as lockdowns.There is no suitable news for Real-Time Direct Effect on Today's Load Consumption.",