Multi-Criteria Decision Analysis (MCDA) methods are commonly used to evaluate alternatives based on various criteria within different fields. However, most traditional MCDA approaches assess alternatives at a single point in time, which limits their ability to evaluate performance across multiple periods. To address this limitation, this research introduces the Data vARIability Assessment - Measurement of Alternatives and Ranking according to COmpromise Solution (DARIA-MARCOS) method for temporal multi-criteria assessment. This new approach is applied to evaluate the achievement of Sustainable Development Goal 7 (SDG 7) targets by selected European countries from 2017 to 2022, focusing specifically on renewable energy sources (RES). Building on its successful use in assessing SDG 7, this investigation demonstrates the potential of the DARIA-MARCOS method for sustainability evaluations over multiple timeframes. The findings illustrate the method’s effectiveness in tracking progress over time, making it a valuable tool for policymakers and researchers involved in sustainable energy planning. The results showed that Norway showed the best performance in all the years evaluated, which gave it the leading position in the DARIA-MARCOS ranking.