[:         "input": "Based on the historical load data, please predict the load consumption in the next day. The region for prediction is QLD. The start date of historical data was on 2019-6-13 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 2019-6-14 that is Weekday, and it is not a public holiday. Weather of the start date: the minimum temperature is 285.43; the maximum temperature is 299.0; the humidity is 93.0; the pressure is 1019.0.  Weather of the prediction date: the minimum temperature is 287.48; the maximum temperature is 298.1; the humidity is 93.0; the pressure is 1019.0. In 2019-06-13 09:53:00, the news that had the Long-Term Effect on Future Load Consumption is that The Queensland government has given the green light to the construction of the controversial mega-mine. The region that may be influenced is QLD. The rationality is that The approval of a large-scale mining project involves long-term industrial development which implies increased energy demand for mining operations and ancillary services.In 2019-06-13 20:38:00, the news that had the Short-Term Effect on Today's Load Consumption is that Eight varieties of milk sold in Coles, Woolworths and IGA have been recalled over fears they may contain 'cleaning solution'. The region that may be influenced is NSW/VIC/TAS. The rationality is that The recall of a large volume of milk products across multiple regions might lead to increased energy consumption as logistics and storage facilities work to remove, dispose of, or replace stock in the short term.In 2019-06-13 16:01:00, the news that had the Real-Time Direct Effect on Today's Load Consumption is that A TRUCK rollover has resulted in a diesel spill on the road and causing traffic to be diverted at the Port of Brisbane this afternoon. The region that may be influenced is QLD. The rationality is that A truck accident resulting in a diesel spill and traffic diversion can cause real-time changes in load consumption due to disruptions in traffic flow, changes in transportation patterns, and the energy used by emergency response services.",