Abstract: Provided are a method and an apparatus for predicting a demanded net energy for maintenance, and an electronic device. The method comprises: acquiring a heart rate data of a target pig (110); and on the basis of the heart rate data and a pre-trained net energy demand prediction model, acquiring a demanded net energy for maintenance of the target pig, wherein the net energy demand prediction model is a neural network model acquired by a productivity parameter-based training (120). According to the method, a prediction based on the heart rate data of a pig is effectively introduced in the prediction process of the demanded net energy for maintenance of the pig. Moreover, the overall prediction process is simplified and optimized, so as to conveniently and quickly predict the demanded net energy for maintenance of the pig in real-time with improved reproducibility and applicability.