Improving Energy Efficiency in a Data Processing Center: PUE Analyzing and Tuning

This research presents a step-by-step methodology to optimize data center operations by combining advanced sensor technologies and machine learning. It identifies key variables, integrates sensors to monitor them, and analyzes the data to reveal hidden patterns that traditional methods may miss. This approach enables real-time, data-driven decisions, improving efficiency, reducing energy consumption, and optimizing PUE. Validated through a real use case, the methodology demonstrates its potential to enhance energy management and promote sustainability in data centers.