  Reduced environmental effect, lower operating costs, and a stable and
sustainable energy supply for current and future generations are the main
reasons why power optimization is important. Power optimization makes ensuring
that energy is used more effectively, cutting down on waste and optimizing the
utilization of resources.In today's world, power optimization and artificial
intelligence (AI) integration are essential to changing the way energy is
produced, used, and distributed. Real-time monitoring and analysis of power
usage trends is made possible by AI-driven algorithms and predictive analytics,
which enable dynamic modifications to effectively satisfy demand. Efficiency
and sustainability are increased when power consumption is optimized in
different sectors thanks to the use of intelligent systems. This survey paper
comprises an extensive review of the several AI techniques used for power
optimization as well as a methodical analysis of the literature for the study
of various intelligent system application domains across different disciplines
of power consumption.This literature review identifies the performance and
outcomes of 17 different research methods by assessing them, and it aims to
distill valuable insights into their strengths and limitations. Furthermore,
this article outlines future directions in the integration of AI for power
consumption optimization.
