Computational Efficiency

Computational efficiency refers to the reduction of computational resources (such as time, memory, or power) required during the training and inference processes of time series models through optimization methods and techniques, in order to improve performance while maintaining model accuracy. The goal is to achieve effective resource utilization, speed up model execution, reduce energy consumption, and enhance system response times. Improving computational efficiency is of significant value for large-scale data processing and real-time applications, as it can substantially enhance the practicality and scalability of the models.