[:         "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 2020-4-1 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 2020-4-2 that is Weekday, and it is not a public holiday. Weather of the start date: the minimum temperature is 287.95; the maximum temperature is 291.74; the humidity is 93.0; the pressure is 1008.0.  Weather of the prediction date: the minimum temperature is 286.02; the maximum temperature is 295.77; the humidity is 82.0; the pressure is 1005.0. There is no suitable news for long-term effect on future load consumption.In 2020-04-01 19:50:00, the news that had the Short-Term Effect on Today's Load Consumption is that Police are upping their crackdown on self-isolation rules, even telling a breastfeeding mum she was breaking the law in NSW. The region that may be influenced is NSW. The rationality is that Intensified enforcement of self-isolation rules suggests an increase in remote working and residential energy consumption, while possibly reducing commercial and industrial load in the short-term due to temporarily closed businesses.In 2020-04-01 19:43:00, the news that had the Real-Time Direct Effect on Today's Load Consumption is that A petrol station in Sydney has got in early with petrol price drops, selling at just 49.9c a litre. The region that may be influenced is NSW. The rationality is that Drastic fuel price reductions could incentivize travel, potentially leading to a short-term decrease in the immediate use of public transport and an uptick in private vehicle usage, thus affecting the load consumption due to behavioral changes in real-time.",