[:         "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 2019-1-31 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 2019-2-1 that is Weekday, and it is not a public holiday. Weather of the start date: the minimum temperature is 295.1; the maximum temperature is 304.91; the humidity is 61.0; the pressure is 1014.0.  Weather of the prediction date: the minimum temperature is 295.37; the maximum temperature is 303.74; the humidity is 69.0; the pressure is 1015.0. There is no suitable news for long-term effect on future load consumption.In 2019-01-31 21:04:00, the news that had the Short-Term Effect on Today's Load Consumption is that Torrential rain has left a unit block in Townsville on the brink of collapse as Queensland\u2019s big wet continues to cause flooding and landslips. The region that may be influenced is QLD. The rationality is that The environmental event of torrential rain and flooding in Queensland has an immediate short-term effect on load consumption. Severe weather can lead to increased use of electricity in unaffected areas for heating/cooling and may cause disruptions to energy infrastructure, affecting the supply and demand of electricity.In 2019-01-31 12:27:00, the news that had the Real-Time Direct Effect on Today's Load Consumption is that More than 45,000 homes were hit by a major power outage in Sydney, leaving traffic lights down, and schools and hospitals scrambling. The region that may be influenced is NSW. The rationality is that A major power outage as mentioned in the news is likely to have a real-time direct effect on load consumption by immediately and significantly reducing the electricity usage within the affected homes, schools, and hospitals until the outage is resolved.",