MORE | Spring 2024

Power Disaggregation for Enhanced Energy Efficiency

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In today’s era of increasing energy costs and environmental concerns, the efficient utilization of energy is critical. This study focuses on developing a robust algorithm, leveraging deep learning techniques, to accurately identify individual appliance consumption patterns. By breakdown of energy consumption, recommendations for both energy and cost savings can be made. The expected outcomes include a reliable power disaggregation algorithm, evidence of enhanced energy efficiency, and insights. The goal is to contribute to sustainable energy management, offering potential solutions to reduce power consumption, lower bills, and mitigate environmental impacts.

Student researcher

Praveen Raj Mohanraj

Computer science

Hometown: Tempe, Arizona, United States

Graduation date: Fall 2025