This case study demonstrates how to apply predictive modelling to a real-world data centre energy dataset using Python. We will explore the data, identify the key drivers of energy consumption, build a machine learning model to predict optimal energy usage, and extract actionable insights that operators can use to reduce both costs and carbon emissions.