Building carbon footprint prediction method and system based on gradient descent algorithm

The invention provides a building carbon footprint prediction method and system based on a gradient descent algorithm, and relates to the technical field of digital processing, and the method comprises the steps: calculating the total carbon amount; selecting an optimized carbon footprint factor in the calculation process of the total carbon amount, and constructing a gradient descent algorithm model; setting a loss function and a learning rate parameter; obtaining an optimal solution through a gradient descent algorithm model, a loss function and a learning rate parameter to obtain an updated carbon footprint factor; and updating the total carbon amount calculation formula to obtain the updated total carbon amount. The technical problem that the accuracy of the total carbon amount prediction value is low due to the fact that the building carbon footprint prediction scheme is unreasonable is solved, and the technical effects of optimizing the building carbon footprint calculation prediction scheme, accurately