[:         "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 2019-1-10 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 2019-1-11 that is Weekday, and it is not a public holiday. Weather of the start date: the minimum temperature is 292.98; the maximum temperature is 301.45; the humidity is 72.0; the pressure is 1018.0.  Weather of the prediction date: the minimum temperature is 292.8; the maximum temperature is 307.28; the humidity is 72.0; the pressure is 1016.0. In 2019-01-10 22:00:00, the news that had the Long-Term Effect on Future Load Consumption is that The state\u2019s north is bracing for more flooding rains after a year of above average rainfall including 678mm of rain in one day \u2014 but the story was different for the rest of Queensland according to the Bureau of Meteorology\u2019s Annual Climate Statement. The region that may be influenced is QLD. The rationality is that The long-term changes in weather patterns and potential for increased flooding could necessitate changes in infrastructure and energy consumption patterns, as well as possibly impacting industrial and agricultural output.In 2019-01-10 13:07:00, the news that had the Short-Term Effect on Today's Load Consumption is that It\u2019s going to be a blisteringly hot day in the southern states, so much so a state Premier has had to promise the power grid will cope with the heat. The region that may be influenced is TAS, VIC, SA. The rationality is that Extreme heat typically results in an immediate spike in energy consumption due to increased use of air conditioning and cooling systems.There is no suitable news for Real-Time Direct Effect on Today's Load Consumption.",