An Analysis of Power Management Techniques in Modern Electronics

Authors: Ronak Italia

DOI: https://doi.org/10.5281/zenodo.14280105

Short DOI: https://doi.org/g8ttf2

Country: USA

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Abstract: The increasing demand for energy efficiency in modern electronics has driven significant advancements in power management techniques. This study explores key strategies, including dynamic voltage and frequency scaling (DVFS), scheduling algorithms, battery management systems (BMS), and the integration of artificial intelligence (AI). DVFS optimizes energy use by dynamically adjusting processor voltage and frequency, proving essential in systems ranging from IoT devices to data centres. Scheduling algorithms ensure efficient task execution, particularly in 5G networks, wearable devices, electric vehicles, and smart grids, by balancing workloads and reducing energy wastage. Battery management systems extend the operational lifetime of battery-powered devices through energy-efficient protocols, predictive analytics, and dynamic optimization techniques. Furthermore, AI has revolutionized power management by enabling predictive adjustments and real-time optimization in microprocessors, renewable energy systems, data centres, and smart homes. Collectively, these advancements emphasize the critical role of power management in achieving sustainability, efficiency, and performance across modern electronic systems.

Keywords: Dynamic Voltage and Frequency Scaling (DVFS), Scheduling Algorithms, Battery Management Systems (BMS), Artificial Intelligence (AI) in Power Management, Energy Efficiency in Electronics

Paper Id: 231738

Published On: 2024-04-08

Published In: Volume 12, Issue 2, March-April 2024

Cite This: An Analysis of Power Management Techniques in Modern Electronics - Ronak Italia - IJIRMPS Volume 12, Issue 2, March-April 2024. DOI 10.5281/zenodo.14280105

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