[:         "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 2020-1-23 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 2020-1-24 that is Weekday, and it is not a public holiday. Weather of the start date: the minimum temperature is 284.51; the maximum temperature is 292.0; the humidity is 54.0; the pressure is 999.0.  Weather of the prediction date: the minimum temperature is 287.28; the maximum temperature is 296.22; the humidity is 48.0; the pressure is 1008.0. In 2020-01-23 00:00:00, the news that had the Long-Term Effect on Future Load Consumption is that Sydney is expected to be the fastest growing property market in the world this year, raising fresh concerns about housing affordability. And Melbourne could soon follow. The region that may be influenced is NSW/VIC. The rationality is that Property market growth can lead to increased urbanization and development, consuming more energy for construction, infrastructure, and residential needs, impacting the long-term energy load consumption.In 2020-01-23 06:29:59, the news that had the Short-Term Effect on Today's Load Consumption is that Damaging winds with gusts of up to 90 km/h are expected in parts of SA today - including Kangaroo Island. Meanwhile, some of the state has had a much-needed drink of water with 5.8mm recorded for Adelaide. The region that may be influenced is SA. The rationality is that Severe weather conditions may lead to increased use of electric heating or cooling systems in the short term to maintain comfort, temporarily raising the load consumption.In 2020-01-23 15:14:00, the news that had the Real-Time Direct Effect on Today's Load Consumption is that It\u2019s so hot in Sydney and NSW that the government has called on residents to cut their power use as the state\u2019s supply nears full capacity. The region that may be influenced is NSW. The rationality is that High temperatures leading to government advisories indicate an immediate surge in energy consumption, mostly due to the increased use of air conditioning systems, which has a real-time direct effect on load consumption.",