[:         "input": "Based on the historical load data, please predict the load consumption in the next day. The region for prediction is VIC. The start date of historical data was on 2019-7-3 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 2019-7-4 that is Weekday, and it is not a public holiday. Weather of the start date: the minimum temperature is 278.65; the maximum temperature is 286.11; the humidity is 98.0; the pressure is 1037.0.  Weather of the prediction date: the minimum temperature is 276.32; the maximum temperature is 289.58; the humidity is 98.0; the pressure is 1036.0. In 2019-07-03 10:58:00, the news that had the Long-Term Effect on Future Load Consumption is that Global readings show the world just experienced its most scorching June on record, putting 2019 on track to be the world\u2019s hottest year ever. The region that may be influenced is Australia. The rationality is that Extreme weather patterns and increasing temperatures due to climate change are expected to have an enduring impact on energy consumption, particularly for cooling systems. As such patterns become more frequent and severe, it will likely result in a sustained higher demand for energy to mitigate heat effects.There is no suitable news for Short-Term Effect on Today's Load Consumption.There is no suitable news for Real-Time Direct Effect on Today's Load Consumption.",