[:         "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 2020-10-31 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 2020-11-1 that is Weekend, and it is not a public holiday. Weather of the start date: the minimum temperature is 287.15; the maximum temperature is 291.23; the humidity is 88.0; the pressure is 1014.0.  Weather of the prediction date: the minimum temperature is 288.06; the maximum temperature is 293.63; the humidity is 72.0; the pressure is 1027.0. In 2020-10-31 22:04:00, the news that had the Long-Term Effect on Future Load Consumption is that The Greens have taken the biggest scalp of the Queensland election, but the party is also on track to quadruple its number of seats. The region that may be influenced is QLD. The rationality is that A strong performance by The Greens could indicate a shift towards more environmentally-conscious policies and energy practices in the region, potentially leading to increased adoption of renewables and energy efficiency measures, which could influence long-term load consumption patterns.In 2020-10-31 19:53:00, the news that had the Short-Term Effect on Today's Load Consumption is that Heavy rain has again disrupted the WBBL for a second weekend, with Brisbane Heat's match against the Hobart Hurricanes abandoned. The region that may be influenced is QLD. The rationality is that The cancellation of a major sporting event due to heavy rain may lead to a decrease in expected energy use associated with the event, such as lighting, broadcasting, and concessions, affecting short-term load consumption.In 2020-10-31 18:52:00, the news that had the Real-Time Direct Effect on Today's Load Consumption is that Counting has been halted in 20 booths as a result of those monster storms that have lashed parts of Queensland. The region that may be influenced is QLD. The rationality is that Severe weather conditions, like the reported storms, can cause immediate disruptions to power systems, potentially leading to outages. This directly affects load consumption in real-time as power infrastructure may be damaged, reducing the load until the disruption is resolved.",