[:         "input": "Based on the historical load data, please predict the load consumption in the next day. The region for prediction is SA. The start date of historical data was on 2020-1-26 that is Weekend, and it is a public holiday: Australia Day. The data frequency is 30 minutes per point. Historical data covers 1 day. The date of prediction is on 2020-1-27 that is Weekday, and it is a public holiday: Australia Day (Observed). Weather of the start date: the minimum temperature is 288.54; the maximum temperature is 298.28; the humidity is 72.0; the pressure is 1015.75.  Weather of the prediction date: the minimum temperature is 286.86; the maximum temperature is 300.98; the humidity is 64.75; the pressure is 1016.75. There is no suitable news for long-term effect on future load consumption.In 2020-01-26 15:54:00, the news that had the Short-Term Effect on Today's Load Consumption is that Severe thunderstorms tore through Sydney this afternoon, wreaking havoc, and now it\u2019s Queensland\u2019s turn. The region that may be influenced is NSW/QLD. The rationality is that Severe weather events can lead to spikes in energy usage due to increased heating or cooling demands and can also disrupt energy infrastructure, potentially causing short-term increases or decreases in load consumption.In 2020-01-26 09:46:00, the news that had the Real-Time Direct Effect on Today's Load Consumption is that Four people in South Australia are being tested for the deadly coronavirus as four cases in Australia are confirmed. The region that may be influenced is SA. The rationality is that The confirmation of coronavirus cases can lead to immediate changes in social behavior and possible restrictions on public gatherings, which could affect commercial and industrial load consumption in real-time.",