This entire study focused on the concept of energy efficiency privacy-preserving task scheduling in the context of computing systems. With the enhancement of data increasing applications are concerned with privacy. this article is pivotal to growing scheduling methods that preserve user privacy during balancing energy efficiency. Addressing these challenges the entire wide methodology is approached with energy efficiency optimization techniques that include privacy-preserving methods. This system aims to consider minimizing the consumption level of energy during protecting all sensitive user data that scheduling task decisions. This study also includes the final decision on emphasizing the significance of energy efficiency and privacy in algorithms for emerging task scheduling of computing systems.