[:         "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 2019-9-7 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 2019-9-8 that is Weekend, and it is not a public holiday. Weather of the start date: the minimum temperature is 284.26; the maximum temperature is 292.33; the humidity is 37.0; the pressure is 1012.0.  Weather of the prediction date: the minimum temperature is 283.4; the maximum temperature is 290.04; the humidity is 46.0; the pressure is 1010.0. In 2019-09-07 23:55:00, the news that had the Long-Term Effect on Future Load Consumption is that The Queensland bushfires are the worst recorded in 130 years, with the disaster being labelled an \u2018historic event\u2019 as Gold Coast hinterland residents were again warned to seek shelter. The region that may be influenced is QLD. The rationality is that Severe weather events and natural disasters like bushfires can lead to long-term changes in load consumption patterns. The rebuilding and restoration activities may cause prolonged increased electricity usage, and there can be a significant impact on infrastructure leading to long-term energy policy changes and potentially greater investment in energy resilience and efficiency.There is no suitable news for Short-Term Effect on Today's Load Consumption.There is no suitable news for Real-Time Direct Effect on Today's Load Consumption.",