[:         "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 2019-5-21 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 2019-5-22 that is Weekday, and it is not a public holiday. Weather of the start date: the minimum temperature is 285.1; the maximum temperature is 297.12; the humidity is 67.0; the pressure is 1027.0.  Weather of the prediction date: the minimum temperature is 286.46; the maximum temperature is 295.85; the humidity is 82.0; the pressure is 1028.0. In 2019-05-21 17:27:00, the news that had the Long-Term Effect on Future Load Consumption is that Modelling has revealed just how much home buyers\u2019 lending capacity would improve if bank regulators went through with a recently proposed change to how loan applicants are assessed. The region that may be influenced is SA. The rationality is that Changes in bank regulators' policies on loan assessments can lead to an increase in home ownership and development, thereby increasing residential energy consumption in the long term.In 2019-05-21 18:59:00, the news that had the Short-Term Effect on Today's Load Consumption is that Business leaders want to put aside gender stereotypes to give more fathers flexible working hours \u2013 and support more women in male-dominated industries. The region that may be influenced is NSW. The rationality is that The introduction of flexible working hours could change consumption patterns in the short term as energy usage may increase during off-peak hours, reflecting a shift in when people are active at home.In 2019-05-21 12:35:00, the news that had the Real-Time Direct Effect on Today's Load Consumption is that Air quality has been rated as \u2018poor\u2019 around Sydney after smoke blanketed most of the city this morning. Experts warn there\u2019s more to come tomorrow. Here are the suburbs worst hit. The region that may be influenced is NSW. The rationality is that Poor air quality and smoke could lead to increased use of air filtration systems and air conditioners as people try to maintain air quality indoors, thus leading to a direct increase in energy consumption.",