[:         "input": "Based on the historical load data, please predict the load consumption in the next day. The region for prediction is TAS. The start date of historical data was on 2019-5-7 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 2019-5-8 that is Weekday, and it is not a public holiday. Weather of the start date: the minimum temperature is 278.37; the maximum temperature is 287.73; the humidity is 87.0; the pressure is 1005.0.  Weather of the prediction date: the minimum temperature is 282.12; the maximum temperature is 287.63; the humidity is 71.0; the pressure is 1009.0. There is no suitable news for long-term effect on future load consumption.In 2019-05-07 06:49:56, the news that had the Short-Term Effect on Today's Load Consumption is that In 2019-05-07 06:49:56, the news was published that Rain is sweeping across the state, giving Adelaide another much-needed drink and giving hope to farmers, and it's set to persist well into the evening with the chance of thunderstorms. The region that may be influenced is SA. The rationality is that The news indicates inclement weather in South Australia, which could lead to an increase in energy usage due to inhabitants likely spending more time indoors and using electric heating or other appliances.In no, the news that had the Real-Time Direct Effect on Today's Load Consumption is that no. The region that may be influenced is no. The rationality is that None of the news articles provided offer information that would have a real-time direct effect on today's load consumption, such as a large-scale power outage, immediate changes in energy policy, or other such events.",