[:         "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 2019-1-28 that is Weekday, and it is a public holiday: Australia Day (Observed). The data frequency is 30 minutes per point. Historical data covers 1 day. The date of prediction is on 2019-1-29 that is Weekday, and it is not a public holiday. Weather of the start date: the minimum temperature is 290.92; the maximum temperature is 302.79; the humidity is 41.0; the pressure is 1007.0.  Weather of the prediction date: the minimum temperature is 287.06; the maximum temperature is 303.24; the humidity is 56.0; the pressure is 1008.0. There is no suitable news for long-term effect on future load consumption.In 2019-01-28 22:00:00, the news that had the Short-Term Effect on Today's Load Consumption is that More heavy rainfall and possible flooding are on the way after the Daintree River in far north Queensland reached its highest level in nearly 120 years. The region that may be influenced is QLD. The rationality is that The forecasted heavy rainfall and potential flooding can lead to immediate disruptions in the energy grid, increased usage of emergency systems, and possibly higher load consumption due to water evacuation efforts. This could temporarily raise the energy demands in the region, affecting the short-term load consumption data.In 2019-01-28 11:13:00, the news that had the Real-Time Direct Effect on Today's Load Consumption is that High-voltage power lines have trapped Sydney residents after a ferocious lightning storm wreaked havoc in their neighbourhood overnight. The region that may be influenced is NSW. The rationality is that The damage caused by the lightning storm and the resulting impact on high-voltage power lines could cause immediate disruption in power supplies, necessitating emergency repairs and possibly leading to soaring demand in backup generators or alternate power source usage. Therefore, this has a real-time direct effect on the load consumption for the period in question.",