[:         "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 2020-11-23 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 2020-11-24 that is Weekday, and it is not a public holiday. Weather of the start date: the minimum temperature is 291.0; the maximum temperature is 295.38; the humidity is 72.0; the pressure is 1011.0.  Weather of the prediction date: the minimum temperature is 290.35; the maximum temperature is 296.19; the humidity is 75.0; the pressure is 1015.0. In 2020-11-23 08:25:00, the news that had the Long-Term Effect on Future Load Consumption is that In 2020-11-23 08:25:00, the Prime Minister has spoken to global leaders about Australia\u2019s action on climate change at a G20 virtual summit event. The region that may be influenced is Australia. The rationality is that Discussions about climate action often lead to long-term energy policy changes. Investments in renewable energy and energy efficiency measures can significantly alter future load consumption across Australia.In 2020-11-23 17:35:00, the news that had the Short-Term Effect on Today's Load Consumption is that In 2020-11-23 17:35:00, a \u2018wave of extreme weather\u2019 is set to hit Australia with record-breaking maximum temperatures and consecutive days north of 40C. The region that may be influenced is Australia. The rationality is that Extreme weather, especially high temperatures, can cause a spike in load consumption due to increased use of air conditioning and cooling systems.There is no suitable news for Real-Time Direct Effect on Today's Load Consumption.",