[:         "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 2020-2-9 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 2020-2-10 that is Weekday, and it is not a public holiday. Weather of the start date: the minimum temperature is 291.23; the maximum temperature is 297.9; the humidity is 88.0; the pressure is 1011.0.  Weather of the prediction date: the minimum temperature is 292.16; the maximum temperature is 298.71; the humidity is 83.0; the pressure is 1009.0. In 2020-02-09 22:46:00, the news that had the Long-Term Effect on Future Load Consumption is that The NSW Wildlife Information, Rescue and Education Services (WIRES) has received more than $60 million from around the world, but The Daily Telegraph can reveal only $6.5 million has been allocated to help treat thousands injured in the bushfires. The region that may be influenced is NSW. The rationality is that The allocation of significant funds towards wildlife recovery and the treatment of animals affected by bushfires is indicative of shifting priorities towards environmental sustainability and could lead to greater focus on renewable energy, energy efficiency, and reduced load consumption over timeIn 2020-02-09 23:06:00, the news that had the Short-Term Effect on Today's Load Consumption is that A map has shown the staggering extent of the mass blackouts across NSW, in the wake of the monster storm lashing the state. The region that may be influenced is NSW. The rationality is that The mass blackouts due to a storm can cause an immediate and significant decrease in load consumption due to outages and disrupted power supply infrastructure in the short term.In 2020-02-09 21:57:00, the news that had the Real-Time Direct Effect on Today's Load Consumption is that More than 50 schools will be closed on Monday as NSW continues to be battered by devastating rain and flooding. The region that may be influenced is NSW. The rationality is that The closure of schools due to severe weather conditions can lead to a real-time direct effect on load consumption as there would be a reduction in energy usage within those school infrastructures.",