Energy consumption prediction for machining process is the basis of the study of energy performance and energy efficiency assessment in manufacturing systems. The existing energy consumption prediction methods for manufacturing process are mainly focused on processing equipment, processing parameters and material. However, part features are also important impact factors for energy consumption of manufacturing process, but these are not studied systematically. In this paper, an energy consumption prediction method based on part feature is proposed. Firstly, the energy consumption of a part feature was analyzed, and an energy consumption model was established based on part multi-features by using matter element theory. Then, a hybrid reasoning method considering case-based reasoning and rule reasoning was studied, and an energy consumption prediction method of manufacturing process was proposed. Finally, a case study of a shaft part was given to verify the effectiveness of the above methods.