<p>In the context of achieving sustainable development goals (SDGs), digital energy planning has become increasingly significant and complex due to the need to consider multiple indices. This complexity poses challenges for decision-makers who must integrate both qualitative and quantitative approaches, particularly in relation to digital energy business models. This study identifies key indicators for decision-making regarding digital energy business models and prioritizes alternatives from environmental, social, governance (ESG), and financial perspectives. Additionally, it incorporates activity-based costing techniques and resource constraints into the multi-criteria decision-making (MCDM) approach. The study employs the decision-making trial and evaluation Laboratory (DEMATEL), the analytic network process (ANP), the VlseKriterijumska Optimizacija I Kompromisno Resenje (VIKOR), and zero–one goal programming (ZOGP) to optimize digital energy business model portfolios. The findings indicate that perspectives on environmental concern and governance practices significantly influence other dimensions. Furthermore, managing carbon footprint is crucial for evaluating digital energy business models. Specifically, optimal portfolios of digital energy business models—such as green energy experience communities, green energy resource-sharing platforms, asset activation innovative designs, and series connections with grid data demonstrate feasibility and reasonability in terms of resource requirement. This study offers insights into various MCDM approaches, emphasizing the importance of digital energy resource planning over traditional decision-making processes. It provides valuable scientific guidance for optimizing digital energy business model planning and contributes to the transformation of Taiwan's energy industry toward sustainable development.</p>