[:         "input": "Based on the historical load data, please predict the load consumption in the next day. The region for prediction is NSW. The start date of historical data was on 2020-10-9 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 2020-10-10 that is Weekend, and it is not a public holiday. Weather of the start date: the minimum temperature is 286.14; the maximum temperature is 297.06; the humidity is 39.0; the pressure is 1019.0.  Weather of the prediction date: the minimum temperature is 286.53; the maximum temperature is 298.56; the humidity is 35.0; the pressure is 1021.0. There is no suitable news for long-term effect on future load consumption.In 2020-10-09 15:31:00, the news that had the Short-Term Effect on Today's Load Consumption is that Melbourne is set to exceed a year\u2019s worth of rain by early October as torrential falls see flood warnings across Victoria and Tasmania. The region that may be influenced is VIC. The rationality is that Extreme weather events, such as significant rainfall leading to flood warnings in Victoria, play a role in changing the immediate energy demands. It can lead to increased usage of pumps, heaters, and other appliances to manage the influx of water and dampness, thus impacting short-term load consumption.In 2020-10-09 20:33:00, the news that had the Real-Time Direct Effect on Today's Load Consumption is that Coles is holding out lures to bring annoyed shoppers back after a massive tech glitch forced supermarket closures nationwide. The region that may be influenced is Multiple regions. The rationality is that A nationwide tech glitch causing supermarket closures represents a real-time direct effect on load consumption. Affected supermarkets would have had drastically reduced power requirements during the outage due to lower lighting needs, inactive checkouts, and potentially lowered refrigeration demands, thereby reducing the immediate load consumption.",