[:         "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 2019-9-18 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 2019-9-19 that is Weekday, and it is not a public holiday. Weather of the start date: the minimum temperature is 287.21; the maximum temperature is 293.66; the humidity is 93.0; the pressure is 1027.0.  Weather of the prediction date: the minimum temperature is 286.93; the maximum temperature is 294.71; the humidity is 77.0; the pressure is 1027.0. In 2019-09-18 18:44:00, the news that had the Long-Term Effect on Future Load Consumption is that The future of the Middle East could come down to how nations react to the latest crisis which saw a major oil facility targeted in a drone attack. The region that may be influenced is SA. The rationality is that The impact of geopolitical events on oil prices can directly affect long-term energy costs and encourage a shift in energy production and consumption habits, potentially increasing demand for electrical load as alternative energy sources are explored.In 2019-09-18 13:57:00, the news that had the Short-Term Effect on Today's Load Consumption is that Wild weather has brought snow, storms and hail to Australia\u2019s east coast, with one area copping almost a month\u2019s worth of rain in just one day. The region that may be influenced is NSW/VIC/QLD. The rationality is that Severe weather events typically result in increased energy consumption due to the need for heating or cooling, storm recovery efforts, and additional use of electronic devices during weather-related disruptions.In 2019-09-18 13:18:00, the news that had the Real-Time Direct Effect on Today's Load Consumption is that Trains travelling in both directions between South Bank and Fortitude Valley have been suspended. The region that may be influenced is QLD. The rationality is that The immediate disruption to transport infrastructure is likely to alter patterns of energy usage as individuals adjust their routines, with potential increased residential demand if more people stay home.",