[:         "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 2020-11-7 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 2020-11-8 that is Weekend, and it is not a public holiday. Weather of the start date: the minimum temperature is 277.61; the maximum temperature is 290.9; the humidity is 61.0; the pressure is 1030.0.  Weather of the prediction date: the minimum temperature is 279.55; the maximum temperature is 297.17; the humidity is 62.0; the pressure is 1027.0. In 2020-11-07 00:01:00, the news that had the Long-Term Effect on Future Load Consumption is that The next-generation gaming consoles are promising some huge improvements, but is it enough to take the gaming throne?. The region that may be influenced is No specific region mentioned. The rationality is that The introduction of new gaming consoles could lead to increased residential energy consumption as they become widely adopted and used more frequently. This could be particularly impactful if the new consoles require more power or lead to longer gaming sessions.In 2020-11-07 12:56:00, the news that had the Short-Term Effect on Today's Load Consumption is that Victoria has recorded eight straight days of zero coronavirus cases as residents await a further easing of restrictions. This is what\u2019s likely to change on Sunday. The region that may be influenced is VIC. The rationality is that With COVID-19 restrictions easing, there could be a short-term increase in commercial and industrial load consumption as businesses reopen and activity resumes more fully, leading to an overall increase in energy demand.In 2020-11-07 16:59:00, the news that had the Real-Time Direct Effect on Today's Load Consumption is that A catastrophic fire danger, dust storms, wind and rain \u2013 that\u2019s all happening this week as Australia prepares for extreme weather conditions. The region that may be influenced is No specific region mentioned. The rationality is that Extreme weather conditions can cause immediate impacts on energy consumption patterns. The requirement for emergency services, increased use of heating or cooling systems, and the potential for power outages all have the potential to influence load consumption in real time.",