Power Management Strategy and Sizing Optimization Techniques for Hybrid Energy Systems Considering Feature Selection: Mini Review

Abstract

This paper proposes a supervision system control called Power Management Strategy (PMS) that optimizes the performance of a system while minimizing its energy consumption. The strategy involves selecting the appropriate features that have the most impact on system performance and using them to control the power usage of the system. A Feature Selection (FS) algorithm is developed that weighs the importance of each feature and identifies those that are most relevant for the desired system behaviour. To validate the strategy, experiments were conducted using a real-world system with varying workloads. The discussion shows that the proposed power management strategy can significantly reduce energy consumption without losing performance.