Assessing volcanic hazards requires a thorough comprehension of volcanic behavior and the implications of eruptive phenomena. Historically, the analysis of uncertainties related to the future eruptions has relied heavily on the study of previous events. This information is sourced from a combination of geological records, historical documentation, and geophysical monitoring. Nonetheless, the heterogeneous nature of this data introduces disparities, both in attributes and chronological completeness. Broad VEI ranges can occasionally misalign with the actual characteristics of an effusive or paroxysmal eruption, especially concerning volumes and column heights, potentially leading to inaccurate interpretations. This study introduces a fresh approach to volcanic hazard assessment by introducing the use of Energy Probability Density Functions (EPDFs). The methodological framework integrates a variety of datasets, such as GVP and LaMEVE, supported also by a comprehensive literature review. Primarily, it examines effusive volcanic phenomena in the Canary Islands within the paroxysmal activities of Mount Etna. In cases where data for specific volcanoes is absent or lacking, the model recommends employing EPDFs from volcanological analogous entities. By segmenting energy parameters into classifications based on lava and pyroclastic volumes, our approach aims to offer an innovative perspective on volcanic activities and their associated hazards, viewing volcanoes as energy systems