[:         "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 2020-1-22 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 2020-1-23 that is Weekday, and it is not a public holiday. Weather of the start date: the minimum temperature is 299.14; the maximum temperature is 303.1; the humidity is 88.0; the pressure is 1012.0.  Weather of the prediction date: the minimum temperature is 298.42; the maximum temperature is 305.44; the humidity is 78.0; the pressure is 1013.0. There is no suitable news for long-term effect on future load consumption.In 2020-01-22 17:41:00, the news that had the Short-Term Effect on Today's Load Consumption is that There\u2019s a watch and act warning for an out-of-control bushfire burning on the eastern fringe of Canberra, near the city\u2019s airport. The region that may be influenced is ACT. The rationality is that The immediate threat of bushfires can lead to increased short-term load consumption due to the usage of emergency services, evacuation efforts, and the community's reliance on communication and survival equipment.In 2020-01-22 20:50:00, the news that had the Real-Time Direct Effect on Today's Load Consumption is that A dust storm described as 'apocalyptic' swept across parts of NSW, South Australia and Victoria with red dirt seen as far as Melbourne. The region that may be influenced is NSW/SA/VIC. The rationality is that The occurrence of a dust storm can have a real-time direct effect on today's load consumption by causing disruptions to power lines, impacting generation capacity, or affecting consumption patterns as people stay indoors and use air filtering systems and other electrical equipment to cope with the conditions.",