[:         "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 2020-7-17 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 2020-7-18 that is Weekend, and it is not a public holiday. Weather of the start date: the minimum temperature is 285.32; the maximum temperature is 288.41; the humidity is 44.0; the pressure is 1014.0.  Weather of the prediction date: the minimum temperature is 282.7; the maximum temperature is 287.56; the humidity is 94.75; the pressure is 1014.0. In 2020-07-17 00:53:00, the news that had the Long-Term Effect on Future Load Consumption is that A significant proportion of those who recover from coronavirus have found they\u2019re still suffering effects of the virus up to three months later, experts have found. The region that may be influenced is VIC. The rationality is that Long-term health impacts of COVID-19 may lead to an increased healthcare burden and associated energy consumption in medical facilities. Ongoing management and research into the long-term effects of the virus could drive the demand for energy over a protracted period, affecting long-term load consumption.In 2020-07-17 18:28:00, the news that had the Short-Term Effect on Today's Load Consumption is that An Ikea distribution centre worker in Sydney has been struck down with COVID-19 after turning up to work while infectious. The region that may be influenced is NSW. The rationality is that The immediate implications of a COVID-19 case at a large distribution center could lead to a short-term shutdown or reduced operation as health protocols and cleaning procedures are enacted. This would temporarily reduce the facility\u2019s energy consumption and has a direct short-term impact on load consumption in the region.In 2020-07-17 08:50:00, the news that had the Real-Time Direct Effect on Today's Load Consumption is that Thick fog has blanketed Melbourne for the second day in a row with a weather system in the Tasman Sea south of Tasmania to blame for the chilly mornings. The region that may be influenced is VIC. The rationality is that Extreme weather conditions such as thick fog and chilly temperatures can cause an immediate increase in energy usage due to higher demand for heating and potential impacts on transportation and infrastructure. This type of weather event can therefore have a real-time direct effect on today's load consumption in the affected area.",