[:         "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 2020-12-19 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 2020-12-20 that is Weekend, and it is not a public holiday. Weather of the start date: the minimum temperature is 283.59; the maximum temperature is 290.17; the humidity is 66.0; the pressure is 1019.0.  Weather of the prediction date: the minimum temperature is 281.5; the maximum temperature is 292.76; the humidity is 71.0; the pressure is 1015.0. In 2020-12-19 00:00:00, the news that had the Long-Term Effect on Future Load Consumption is that Armed with plenty of stimulus and government incentives, new data shows first homebuyers are leading the property market\u2019s stellar recovery. The region that may be influenced is NSW. The rationality is that Government policies that are bolstering the property market can encourage growth in the residential sector, which could lead to higher demand for energy consumption in the long term as more homes are built and occupied.In 2020-12-19 20:24:00, the news that had the Short-Term Effect on Today's Load Consumption is that Premier Mark McGowan has announced the hard border with NSW will go up at midnight tonight. The region that may be influenced is WA. The rationality is that The implementation of a hard border due to health concerns increases logistical and operational activities, especially in the period leading up to the enforcement time, potentially causing a spike in energy consumption as businesses and government services respond to the change.In 2020-12-19 21:24:00, the news that had the Real-Time Direct Effect on Today's Load Consumption is that One of Australia\u2019s most iconic sporting events has officially been cancelled following the recent surge in COVID-19 cases in Sydney. The region that may be influenced is NSW. The rationality is that The cancellation of a large event leads to a direct and immediate decrease in electricity usage that would have been needed for the venue, lighting, security, and other event-related infrastructure, affecting the overall load consumption.",