[:         "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 2019-10-5 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 2019-10-6 that is Weekend, and it is not a public holiday. Weather of the start date: the minimum temperature is 287.81; the maximum temperature is 297.66; the humidity is 67.0; the pressure is 1018.0.  Weather of the prediction date: the minimum temperature is 289.78; the maximum temperature is 296.79; the humidity is 65.0; the pressure is 1012.0. There is no suitable news for long-term effect on future load consumption.In 2019-10-05 09:40:00, the news that had the Short-Term Effect on Today's Load Consumption is that Australian states that follow daylight saving will spring their clocks forward this weekend, signalling the start of long spring and summer days. The region that may be influenced is VIC/NSW/TAS/SA. The rationality is that The start of daylight saving time means clocks are set one hour ahead which could impact energy consumption patterns due to changes in daylight hours. People may use more lighting and electronic devices in the later parts of the evening, affecting short-term energy load consumption.In 2019-10-05 18:11:00, the news that had the Real-Time Direct Effect on Today's Load Consumption is that Despite a cool change set for Sunday, SA\u2019s hot spring is likely to continue. Forecasters say the outlook for the rest of the year is dry and very worrying. The region that may be influenced is SA. The rationality is that The hot weather forecast in South Australia can cause an immediate increase in energy consumption as people turn to air conditioning units to cool down their homes and workplaces. This would impact the real-time direct load consumption in SA.",