[:         "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 2019-3-14 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 2019-3-15 that is Weekday, and it is not a public holiday. Weather of the start date: the minimum temperature is 293.16; the maximum temperature is 306.07; the humidity is 78.0; the pressure is 1011.0.  Weather of the prediction date: the minimum temperature is 293.23; the maximum temperature is 297.43; the humidity is 100.0; the pressure is 1014.0. In 2018-02-28 13:14:00, the news that had the Long-Term Effect on Future Load Consumption is that Population growth leads to a larger ecological footprint, without a corresponding increase in biocapacity. The region that may be influenced is Australia. The rationality is that Given that population growth directly influences energy consumption through increased demand for services such as housing, transportation, and public utilities, a larger population will naturally lead to higher energy consumption rates over the long term, unless significant efficiency improvements are implemented.In 2019-03-14 21:55:00, the news that had the Short-Term Effect on Today's Load Consumption is that A massive hailstorm wreaked havoc across NSW yesterday, with flash floods and golf ball-sized hailstones pummelling cars and homes. The region that may be influenced is NSW. The rationality is that The immediate aftermath of a severe weather event, such as a massive hailstorm, typically results in increased short-term energy consumption due to damage requiring repair, increased use of heating or cooling systems, and emergency response efforts.There is no suitable news for Real-Time Direct Effect on Today's Load Consumption.",