The OmpSs programming model supports task-based parallelism in a similar manner to OpenMP. This whitepaper explores the possibility of implementing an energy-aware scheduling policy in run-time component of the OmpSs programming model, to adapt task execution schedules for balancing energy efficiency with parallel performance. A high-level design description of a run-time scheduling plugin to achieve this is presented, as well as key results from studying its effectiveness with 4 performance metrics, using 17 application benchmarks. The results show that the approach can be leveraged to improve energy efficiency in scenarios where dynamic power accounts for a large component of total power consumption, to benefits that can be programmatically balanced with predicted performance loss.