[:         "input": "Based on the historical load data, please predict the load consumption in the next day. The region for prediction is VIC. The start date of historical data was on 2019-12-7 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 2019-12-8 that is Weekend, and it is not a public holiday. Weather of the start date: the minimum temperature is 285.42; the maximum temperature is 298.73; the humidity is 55.0; the pressure is 1020.0.  Weather of the prediction date: the minimum temperature is 287.44; the maximum temperature is 310.69; the humidity is 16.0; the pressure is 1014.0. There is no suitable news for long-term effect on future load consumption.In 2019-12-07 13:19:00, the news that had the Short-Term Effect on Today's Load Consumption is that Temperatures have again soared across southeast Queensland, with Brisbane hitting 38C before 11am and 'very poor' air quality recorded across the city. The region that may be influenced is QLD. The rationality is that The spike in temperatures is likely to lead to increased usage of air conditioning systems, which would result in a short-term increase in electrical load consumption to combat the heat.In 2019-12-07 18:06:00, the news that had the Real-Time Direct Effect on Today's Load Consumption is that Sunday will be a stinker, with total fire bans declared for some districts and a severe heat warning issued for the northwest. But it won\u2019t last long. The region that may be influenced is No specific region given. The rationality is that The severe heat warning implies an immediate increase in cooling demand; however, the absence of specific region information makes it difficult to pinpoint the impact on load consumption. Moreover, if the region affected is within Australia and utilizes electrical equipment for fire prevention or fighting, this could also lead to a direct and immediate increase in load consumption.",