Moreno Rocha, Christian ManuelNúñez-Álvarez, José R.Rivera-Alvarado, JuanGhisayz Ruiz, AlfredoBuelvas-Sánchez, Enderson A.2026-04-232026-04-232025-02-27Moreno-Rocha, C. M., Nuñez-Alvarez, J. R., Rivera-Alvarado, J., Ruiz, A. G., & Buelvas-Sanchez, E. A. (2025). Multi-criteria evaluation and multi-method analysis for appropriately selecting renewable energy sources in Colombia. MethodsX, 14. https://doi.org/10.1016/J.MEX.2025.103248https://hdl.handle.net/10347/46943This research explores the implementation of renewable energy technologies for power generation using multi-criteria decision-making (MCDM) methods, including AHP, FAHP, TOPSIS, and FUZZY-TOPSIS. Ten renewable energy alternatives were evaluated across seven geographic regions in Colombia, revealing variability in preferences depending on the method and scenario. Alternatives 6 and 4 frequently stood out, while others showed varied rankings. This study significantly contributes to the energy sector by offering a rigorous framework for selecting renewable generation technologies, supporting sustainable energy planning, and providing a model for replication in global contexts, some key points are: • The study applied systematic MCDM approaches to assess renewable energy sources. • Results demonstrated method-dependent variability and highlighted regional preferences. • It sets a benchmark for integrating sustainable practices into energy planning worldwide.eng© 2025 The Author(s). Published by Elsevier B.V. This is an open access article under the CC BY-NC licenseAttribution-NonCommercial 4.0 Internationalhttp://creativecommons.org/licenses/by-nc/4.0/Energy OptimizationEnvironmental and Energy SustainabilitHierarchical analytical process (HAP)Hierarchical analytical process with fuzzy logic (FAHP)Methods of DecisionRenewable energiesjournal article2026-03-2710.1016/J.MEX.2025.1032482215-0161open access2215-0161