[:         "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 2019-2-10 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 2019-2-11 that is Weekday, and it is not a public holiday. Weather of the start date: the minimum temperature is 287.8; the maximum temperature is 303.51; the humidity is 52.0; the pressure is 1007.0.  Weather of the prediction date: the minimum temperature is 290.72; the maximum temperature is 309.56; the humidity is 24.0; the pressure is 1000.0. In 2019-02-10 03:00:00, the news that had the Long-Term Effect on Future Load Consumption is that West Australians will be forced to separate their household waste into three separate bins as the State Government tries to shake our reputation as the nation\u2019s worst recyclers. The region that may be influenced is WA. The rationality is that This policy change is centered on environmental sustainability and improving recycling processes. By implementing a more rigorous waste separation system, the state is focussing on long-term environmental benefits, which typically include energy conservation efforts and a gradual decrease in energy consumption as recycling processes become more efficient and potentially more energy is reclaimed from waste.In 2019-02-10 14:12:00, the news that had the Short-Term Effect on Today's Load Consumption is that The fire started as Perth approaches its seventh day above 30 degrees. The region that may be influenced is WA. The rationality is that The news of a fire during a period of high temperatures suggests the potential for increased load consumption due to higher use of air conditioning and other cooling systems. Also, if the fire impacts infrastructure, it might prompt additional energy demand for emergency services and potential repair operations in the short term.There is no suitable news for Real-Time Direct Effect on Today's Load Consumption.",