[:         "input": "Based on the historical load data, please predict the load consumption in the next day. The region for prediction is QLD. 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 296.27; the maximum temperature is 304.16; the humidity is 65.0; the pressure is 1014.0.  Weather of the prediction date: the minimum temperature is 296.51; the maximum temperature is 303.54; the humidity is 83.0; the pressure is 1013.0. 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.",