[:         "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 2020-12-9 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 2020-12-10 that is Weekday, and it is not a public holiday. Weather of the start date: the minimum temperature is 289.51; the maximum temperature is 298.36; the humidity is 56.0; the pressure is 1018.0.  Weather of the prediction date: the minimum temperature is 290.45; the maximum temperature is 293.36; the humidity is 45.0; the pressure is 1028.0. In 2020-12-09 16:33:00, the news that had the Long-Term Effect on Future Load Consumption is that It seems our already warmer days are only going to get hotter as weather experts paint a grim picture of Australia\u2019s climate in the future. The region that may be influenced is Australia. The rationality is that Long-term temperature increases require more cooling systems like air conditioners running over extended periods, leading to a sustained rise in load consumption.In 2020-12-09 18:00:00, the news that had the Short-Term Effect on Today's Load Consumption is that A major rain and flood event is forecast to be just around the corner and it could leave scores of areas in towns, cities and suburbs underwater. The region that may be influenced is Australia. The rationality is that Extreme weather conditions often lead to a short-term increase in energy consumption as residents prepare for potential impacts and emergency services ramp up operations.There is no suitable news for Real-Time Direct Effect on Today's Load Consumption.",