The speed of growth in demand for digital services has created an enormous rise in data-center energy usage, raising considerable doubts about its sustainability, not only to the environment but also to the operating costs. The given paper presents a MATLAB framework that could be used to explore and optimize energy consumption in the data center, specifically, intelligent workload scheduling and temperature-aware cooling. The model enables dynamic distribution of workloads in order to reduce power consumption without losing performance. Empirical analysis indicates that optimized workload packing can reduce overall IT power consumption at the workload level by as much as 19 percent, and thermal-aware cooling provides further energy savings. The obtained tool creates a replicable instrument for the investigation of sustainable computing strategies and assists to achieve more significant efforts to reduce the carbon footprint of digital infrastructures.