[:         "input": "Based on the historical load data, please predict the load consumption in the next day. The region for prediction is VIC. The start date of historical data was on 2019-4-5 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 2019-4-6 that is Weekend, and it is not a public holiday. Weather of the start date: the minimum temperature is 287.77; the maximum temperature is 298.86; the humidity is 66.0; the pressure is 1020.0.  Weather of the prediction date: the minimum temperature is 282.33; the maximum temperature is 298.66; the humidity is 64.0; the pressure is 1017.0. In 2019-04-05 21:29:00, the news that had the Long-Term Effect on Future Load Consumption is that SOLAR panels should be compulsory on all new housing builds across the nation, says the green energy industry\u2019s peak body. But not everyone agrees. The region that may be influenced is National. The rationality is that Mandatory solar panels would alter the energy landscape by significantly boosting renewable energy generation capacity, reducing long-term reliance on traditional electricity grids and fossil fuels, and potentially lowering energy costs for consumers.In 2019-04-05 21:30:00, the news that had the Short-Term Effect on Today's Load Consumption is that Depending on what they are doing tomorrow South Australians will get an extra hour to sleep or party when the state\u2019s daylight saving period ends. The region that may be influenced is SA. The rationality is that The end of daylight saving time affects energy load consumption as behavioral patterns shift. The extra hour of darkness in the evening may lead to an earlier increase in electricity usage for lighting and heating.In 2019-04-05 20:27:00, the news that had the Real-Time Direct Effect on Today's Load Consumption is that The Adelaide CBD was blanketed by a massive dust storm as strong winds whipped up topsoil from parched paddocks north of the city. The region that may be influenced is SA. The rationality is that A dust storm may cause an immediate increase in air filtration and purification systems, temporarily boosting electricity consumption in the affected areas as residents and businesses work to maintain air quality indoors.",