Optimizing Energy Efficiency: Diverse Algorithmic Applications
*Corresponding Author: Dr. Noor Al-Khalifa, Dept. of Computer Engineering Qatar University, Qatar, Email: n.alkhalifa@qu-demo.qaReceived Date: Jul 01, 2025 / Accepted Date: Jul 29, 2025 / Published Date: Jul 29, 2025
Citation: Al-Khalifa DN (2025) Optimizing Energy Efficiency: Diverse Algorithmic Applications. Innov Ener Res 14: 464.DOI: 10.4172/2576-1463.1000464
Copyright: © 2025 Dr. Noor Al-Khalifa This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permitsunrestricted use, distribution and reproduction in any medium, provided the original author and source are credited.
Abstract
This compilation presents research on the application of diverse optimization algorithms to improve energy efficiency across
multiple technological domains. Key areas include data centers, smart grids, IoT devices, renewable energy, cloud computing,
wireless sensor networks, smart buildings, electric vehicles, industrial automation, and mobile edge computing. The studies utilize
methods such as machine learning, metaheuristics, and reinforcement learning to achieve significant energy savings, cost reductions,
and environmental benefits through intelligent resource management and control strategies.
