[:         "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 2019-6-1 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 2019-6-2 that is Weekend, and it is not a public holiday. Weather of the start date: the minimum temperature is 282.41; the maximum temperature is 292.12; the humidity is 71.0; the pressure is 1027.0.  Weather of the prediction date: the minimum temperature is 283.97; the maximum temperature is 289.79; the humidity is 81.0; the pressure is 1015.0. There is no suitable news for long-term effect on future load consumption.In 2019-06-01 21:30:00, the news that had the Short-Term Effect on Today's Load Consumption is that In 2019-06-01 21:30:00, the news was published that it\u2019s the time of the year again when most of us rug up and try to stay indoors with the heater cranked up and a warming mug of soup to get us through the wintry nights. The region that may be influenced is Not specified. The rationality is that Given that this statement indicates a seasonal change to colder weather, short-term increases in electricity load consumption are likely due to the increased use of heating systems to keep indoor environments warm. This direct relationship between cold weather and increased energy use for heating is a predictable short-term driver of load consumption.In 2019-06-01 08:43:00, the news that had the Real-Time Direct Effect on Today's Load Consumption is that In 2019-06-01 08:43:00, the news was published that residents in Campbellfield, Epping, Lalor, Somerton, Dallas, Coolaroo are on alert as fire rages in a Campbellfield factory and a plume of black smoke blankets the area. The region that may be influenced is Campbellfield, Epping, Lalor, Somerton, Dallas, Coolaroo. The rationality is that The immediate impact of a large fire, especially in industrial areas, can lead to abrupt changes in electricity load due to emergency response measures, potential blackouts, factory shutdowns, and rerouting of electricity to ensure safety and to support firefighting efforts. The region specified is directly impacted by the fire, and the timing coincides with the real-time event described.",