[:         "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 2019-5-3 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 2019-5-4 that is Weekend, and it is not a public holiday. Weather of the start date: the minimum temperature is 289.0; the maximum temperature is 294.91; the humidity is 63.0; the pressure is 1015.0.  Weather of the prediction date: the minimum temperature is 283.59; the maximum temperature is 292.46; the humidity is 62.0; the pressure is 1017.0. There is no suitable news for long-term effect on future load consumption.In 2019-05-03 21:00:00, the news that had the Short-Term Effect on Today's Load Consumption is that Two-year-old Francesca Hick only knows a world of cracked earth and the false promise of rain. YOU CAN ADOPT A FARMER. The region that may be influenced is no. The rationality is that This news reflects ongoing drought conditions which may lead to decreased short-term energy consumption due to less agricultural activity and potentially lower use of water pumping and irrigation systems reliant on electric power in the agricultural sector.In 2019-05-03 20:01:00, the news that had the Real-Time Direct Effect on Today's Load Consumption is that Passengers on the Mernda line can expect major delays after a train struck a truck at Reservoir and buses will replace trains between Bell and Epping stations as the area is cleared. The region that may be influenced is VIC. The rationality is that This incident would have a real-time direct effect on today's load consumption as the train services are disrupted and replaced by buses. The energy consumption patterns would shift from electric rail transport to diesel-powered buses temporarily, which would reduce the load consumption on the electric grid for the duration of the disruption.",