[:         "input": "Based on the historical load data, please predict the load consumption in the next day. The region for prediction is NSW. The start date of historical data was on 2020-4-29 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 2020-4-30 that is Weekday, and it is not a public holiday. Weather of the start date: the minimum temperature is 284.93; the maximum temperature is 294.69; the humidity is 82.0; the pressure is 1006.0.  Weather of the prediction date: the minimum temperature is 282.76; the maximum temperature is 289.07; the humidity is 54.0; the pressure is 1008.0. There is no suitable news for long-term effect on future load consumption.In 2020-04-29 11:54:00, the news that had the Short-Term Effect on Today's Load Consumption is that The supermarket giant recorded a strong jump in online business as consumers needed more cleaning products and relieved boredom through baking. The region that may be influenced is No specific region provided. The rationality is that A surge in online shopping and domestic activities such as baking increases residential energy consumption in the short-term due to the use of domestic appliances, computing and other electronic devices.There is no suitable news for Real-Time Direct Effect on Today's Load Consumption.",