@Article{ee.2026.084439,
AUTHOR = {Yijun Miao, Erxun Huang, Tao Shen, Chuansheng Cao, Jing Liu, Ruonan Li, Chang Wen, Tianyu Liu},
TITLE = {A Multi-Dimensional Evaluation of New Rural Integrated Energy Systems Based on the Combination Weighting Method and Cloud Model},
JOURNAL = {Energy Engineering},
VOLUME = {},
YEAR = {},
NUMBER = {},
PAGES = {{pages}},
URL = {http://www.techscience.com/energy/online/detail/27357},
ISSN = {1546-0118},
ABSTRACT = {To improve the comprehensiveness and uncertainty representation of rural integrated energy system evaluation, this study develops a multidimensional assessment framework covering efficiency, supply reliability, low-carbon performance, environmental impacts, economic benefits, social benefits, and system development. The framework integrates improved AHP, entropy weighting, and a sum-of-squared-deviations combination strategy to balance expert judgment with data-driven information, while the cloud model is used to quantify both fuzziness and randomness in the evaluation process. Three rural energy revolution pilot counties in China—Wendeng District, Changfeng County, and Liyang City—were selected for empirical validation. The comprehensive expectation values were 78.573, 81.032, and 81.824, respectively. Liyang achieved the highest overall evaluation level, Changfeng showed the strongest system stability, and Wendeng exhibited greater uncertainty due to weaker energy-efficiency and low-carbon-sustainability performance. The proposed framework provides a practical tool for identifying regional weaknesses and supporting county-level rural energy-system planning.},
DOI = {10.32604/ee.2026.084439}
}