[:         "input": "Based on the historical load data, please predict the load consumption in the next day. The region for prediction is SA. The start date of historical data was on 2019-10-10 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 2019-10-11 that is Weekday, and it is not a public holiday. Weather of the start date: the minimum temperature is 281.87; the maximum temperature is 293.48; the humidity is 48.75; the pressure is 1020.0.  Weather of the prediction date: the minimum temperature is 283.29; the maximum temperature is 296.6; the humidity is 42.25; the pressure is 1015.0. In 2019-10-10 11:55:00, the news that had the Long-Term Effect on Future Load Consumption is that Pack your brolly NSW because the state is set for a drenching over the weekend, offering some much-needed reprieve for firefighters battling fires across northern NSW. The region that may be influenced is NSW. The rationality is that The rainfall in New South Wales (NSW) may lead to reduced energy usage for air conditioning and firefighting efforts, which could affect both residential and industrial load consumption in the long-term if such weather patterns become frequent due to climate change.There is no suitable news for Short-Term Effect on Today's Load Consumption.There is no suitable news for Real-Time Direct Effect on Today's Load Consumption.",