[:         "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 2020-3-12 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 2020-3-13 that is Weekday, and it is not a public holiday. Weather of the start date: the minimum temperature is 286.54; the maximum temperature is 299.01; the humidity is 64.0; the pressure is 1020.0.  Weather of the prediction date: the minimum temperature is 285.82; the maximum temperature is 292.75; the humidity is 77.0; the pressure is 1017.0. There is no suitable news for long-term effect on future load consumption.In 2020-03-12 20:00:00, the news that had the Short-Term Effect on Today's Load Consumption is that Patients will no longer have to risk the coronavirus by queuing in their GP\u2019s waiting room or the chemist for a repeat script with access to electronic prescriptions. The region that may be influenced is Australia. The rationality is that The move to electronic prescriptions may reduce the short-term load consumption by decreasing the number of people visiting medical facilities, which might otherwise consume more electricity due to higher foot traffic and extended operating hours.There is no suitable news for Real-Time Direct Effect on Today's Load Consumption.",