[:         "input": "Based on the historical load data, please predict the load consumption in the next day. The region for prediction is NSW. The start date of historical data was on 2019-11-24 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 2019-11-25 that is Weekday, and it is not a public holiday. Weather of the start date: the minimum temperature is 290.27; the maximum temperature is 305.73; the humidity is 64.0; the pressure is 1012.0.  Weather of the prediction date: the minimum temperature is 291.31; the maximum temperature is 307.38; the humidity is 35.0; the pressure is 1003.0. There is no suitable news for long-term effect on future load consumption.In 2019-11-24 22:27:00, the news that had the Short-Term Effect on Today's Load Consumption is that In 2019-11-24 22:27:00, the news was published that A man is in custody over the Lulworth bushfire as police continue to investigate the cause of bushfires in the state\u2019s North. The region that may be influenced is TAS. The rationality is that Bushfires can lead to increased load consumption due to emergency services and response activities, as well as potential changes in population behavior, such as increased air conditioning use due to smoke and heat.In 2019-11-24 16:28:00, the news that had the Real-Time Direct Effect on Today's Load Consumption is that In 2019-11-24 16:28:00, the news was published that People are being told to prepare to flee a bushfire burning west of Cairns in north Queensland this afternoon. The region that may be influenced is QLD. The rationality is that Immediate effects on load are expected as residents potentially increase electricity usage for preparation activities, emergency services require additional resources, and local infrastructure adapts to the evolving situation.",