[:         "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 2019-1-20 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 2019-1-21 that is Weekday, and it is not a public holiday. Weather of the start date: the minimum temperature is 291.13; the maximum temperature is 302.68; the humidity is 69.0; the pressure is 1017.0.  Weather of the prediction date: the minimum temperature is 291.48; the maximum temperature is 304.37; the humidity is 68.0; the pressure is 1013.0. In 2019-01-20 17:31:00, the news that had the Long-Term Effect on Future Load Consumption is that Councils up and down the Queensland coast are preparing for the first king tides of the year next week. The region that may be influenced is QLD. The rationality is that Preparation for king tides indicates potential challenges related to climate change and rising sea levels, which may impact infrastructure and energy consumption habits in the long term.In 2019-01-20 19:16:00, the news that had the Short-Term Effect on Today's Load Consumption is that A record heatwave that\u2019s delivering soaring temperatures up to 45 degrees continues to blanket parts of Queensland, with forecasters warning it\u2019s not going to end any time soon. The region that may be influenced is QLD. The rationality is that Extreme temperatures typically lead to increased use of cooling systems like air conditioners, thus raising energy consumption in the short term.In 2019-01-20 21:41:00, the news that had the Real-Time Direct Effect on Today's Load Consumption is that Firefighters were hospitalised and property was damaged as an out-of-control fire threatened lives and homes in Collie. The region that may be influenced is WA. The rationality is that The immediate impact of the out-of-control fire could potentially disrupt power supply and infrastructure, having a direct real-time effect on energy consumption and load.",