Datasets including performances for multi-criteria temporal evaluation of SDG 7 implementation by European countries collected for 2017-2022

This dataset comprises data collected from 2017 to 2022, organized in separate XLSX and CSV files for each year. Files country_names.xlsx and country_names.csv include abbreviations and full names of countries considered in this research. The data were utilized for a time-based decision-making goal focused on evaluating how selected European nations are progressing toward the targets assigned in Sustainable Development Goal 7 (SDG 7), regarding accessible and environmentally friendly energy. Key dimensions of evaluation include enhancing energy efficiency, expanding the use of renewable resources, and diversifying energy portfolios, all while maintaining energy affordability for the population. The specific goals used as evaluation criteria within the assessment framework are listed in data.pdf file describing provided dataset. The dataset is related to the research paper: Wątróbski, J. (2025). New Multi-Criteria Approach to Sustainable Development Assessment. In: Paszynski, M., Barnard, A.S., Zhang, Y.J. (eds) Computational Science – ICCS 2025 Workshops. ICCS 2025. Lecture Notes in Computer Science, vol 15910. Springer, Cham. https://doi.org/10.1007/978-3-031-97567-7_18本数据集收录了2017至2022年采集的数据，按年份分别整理为XLSX与CSV格式的独立文件。其中country_names.xlsx和country_names.csv文件包含了本研究涉及国家的简称与官方全称。 本数据集服务于一项基于时间维度的决策目标，即评估指定欧洲国家在可及且环境友好的能源领域，迈向可持续发展目标7（Sustainable Development Goal 7, SDG 7）既定目标的进展情况。本次评估的核心维度涵盖提升能源利用效率、扩大可再生资源应用规模、实现能源结构多元化，同时保障民众可负担的能源成本。本评估框架中作为评估准则的具体目标，已在说明本数据集的data.pdf文件中详细列明。 本数据集关联的研究论文如下： Wątróbski, J. (2025). 可持续发展评估的新型多准则方法. 载于：Paszynski, M., Barnard, A.S., Zhang, Y.J. 主编. 计算科学——ICCS 2025研讨会论文集. ICCS 2025. 计算机科学讲义，第15910卷. 施普林格出版社，尚贝里. https://doi.org/10.1007/978-3-031-97567-7_18