With numerous renewable energy technologies available worldwide, the se-lection process must be meticulous to address specific needs effectively. Given the precar-ious dependency of Palestinian territories (PTs) on imported energy, surpassing 90% of its electricity requirements, there is a pressing need to explore sustainable solutions, par-ticularly renewable energy sources, to achieve energy self-sufficiency. In response to this challenge, the present research employs a Multi-Criteria Decision-Making (MCDM) ap-proach, specifically leveraging the Analytic Hierarchy Process (AHP). The primary objec-tive is to comprehensively investigate, select, and rank eight renewable energy sources in PTs, including solar photovoltaic (PV), solar water heaters (SWH), concentrated solar power (CSP), wind, geothermal, biomass, biogas, and waste-to-energy (WTE) alterna-tives. Utilizing the MCDM approach, the AHP assessment model is structured around five main criteria (technical, economic, environmental, socio-political, and risk) and 22 sub-criteria, aligned with the eight renewable energy alternative solutions. The findings un-derscore solar PV as the most promising renewable energy alternative solution in the PTs, followed by SWH, WTE, geothermal, biogas, and CSP, respectively. Following a sen-sitivity analysis, the prioritization and ranking of the renewable energy alternative solu-tions portfolio offer valuable insights for the formulation of long-term energy roadmaps and policies aimed at achieving sustainability. Furthermore, the study employs the AHP model alongside corresponding comparison matrices to discern local and global prefer-ences across hierarchical tree levels, encompassing criteria, sub-criteria, and final selec-tion alternatives. Notably, technical and economic criteria are paramount, each with a weight of 33.3%, while socio-political, risk, and environmental criteria follow, each with a weight of 11.1%. The study's pioneering use of the AHP method for prioritizing renew-able alternatives in the Palestinian context significantly enhances informed decision-making and strategic energy planning in the region.