[:         "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 2020-10-17 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 2020-10-18 that is Weekend, and it is not a public holiday. Weather of the start date: the minimum temperature is 283.84; the maximum temperature is 289.63; the humidity is 47.75; the pressure is 1020.75.  Weather of the prediction date: the minimum temperature is 280.3; the maximum temperature is 291.34; the humidity is 62.5; the pressure is 1021.75. In 2020-10-17 00:00:00, the news that had the Long-Term Effect on Future Load Consumption is that Increasing population density means more people will be living in strata titled properties in the future, but things are looking up for apartment residents after new changes. The region that may be influenced is NSW. The rationality is that The news discusses increased population density and the shift towards strata-titled living arrangements. In the long term, this urbanization and population growth could signify an increased demand for electrically powered services in the residential sector, leading to higher load consumption.In 2020-10-17 20:44:00, the news that had the Short-Term Effect on Today's Load Consumption is that Demand for housing in Sydney\u2019s south has been rising as work from home arrangements make it more attractive for former CBD workers, resulting in some huge sales. The region that may be influenced is NSW. The rationality is that The rising demand for housing due to work from home arrangements suggests a short-term increase in residential energy use, as more people will be using energy at home during the day instead of centralized locations like offices, potentially leading to a surge in load consumption.There is no suitable news for Real-Time Direct Effect on Today's Load Consumption.",