[:         "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 2020-1-14 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 2020-1-15 that is Weekday, and it is not a public holiday. Weather of the start date: the minimum temperature is 290.32; the maximum temperature is 301.11; the humidity is 50.0; the pressure is 1014.0.  Weather of the prediction date: the minimum temperature is 294.17; the maximum temperature is 301.15; the humidity is 83.0; the pressure is 1007.0. There is no suitable news for long-term effect on future load consumption.In 2020-01-14 22:00:00, the news that had the Short-Term Effect on Today's Load Consumption is that Smoke haze has seen Melbourne\u2019s air quality skyrocket to hazardous levels, with the \u201cdangerous and unhealthy\u201d conditions causing a number of flight delays at Melbourne Airport. The region that may be influenced is VIC. The rationality is that The immediate impact of hazardous air quality may lead to increased usage of air filtration and air conditioning systems, temporarily elevating the energy load.In 2020-01-14 08:17:00, the news that had the Real-Time Direct Effect on Today's Load Consumption is that Melbourne has had a difficult night after bushfire smoke settled over the city, making the skyline disappear and triggering warnings. The region that may be influenced is VIC. The rationality is that The smoke event in Melbourne could cause an immediate real-time spike in electricity consumption due to the increased use of HVAC systems to manage air quality and temperature control within buildings.",