[:         "input": "Based on the historical load data, please predict the load consumption in the next day. The region for prediction is TAS. The start date of historical data was on 2019-11-28 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 2019-11-29 that is Weekday, and it is not a public holiday. Weather of the start date: the minimum temperature is 281.97; the maximum temperature is 288.52; the humidity is 76.0; the pressure is 1013.0.  Weather of the prediction date: the minimum temperature is 277.85; the maximum temperature is 290.07; the humidity is 66.0; the pressure is 1011.0. There is no suitable news for long-term effect on future load consumption.In 2019-11-28 18:54:00, the news that had the Short-Term Effect on Today's Load Consumption is that The Bureau of Meteorology has given its first forecast for what Australia\u2019s summer will deliver and one graph in particular is focusing minds. The region that may be influenced is Various. The rationality is that Short-term weather forecasts can have immediate impacts on load consumption as they influence the usage of heating, ventilation, and air conditioning systems. The expectation of a hot summer may prompt increased usage of air conditioning, thereby increasing the load consumption.In 2019-11-28 07:32:00, the news that had the Real-Time Direct Effect on Today's Load Consumption is that Firefighters are still battling more than 160 bush and grass fires across NSW after about 100 fresh blazes ignited in a 24-hour period. The region that may be influenced is NSW. The rationality is that Large-scale emergencies such as bushfires can disrupt power lines and energy infrastructure, leading to real-time changes in electricity load due to outages or emergency demand response. The immediate effects on load consumption can vary from decreases due to infrastructure damage to increases due to higher demand from emergency services and affected communities.",