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Assessment of clean energy development path based on carbon emission data: achieving sustainable development goals

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  • Shulei Qi

Abstract

The development of clean energy is usually influenced by seasonal factors, and traditional manual experience assessment methods often fail to consider these seasonal factors and overlook periodic trends. Through the Holt-Winters method, carbon emission data was comprehensively and accurately evaluated to guide the achievement of sustainable development goals. The relevant carbon emission data was collected, and the Holt-Winters method combined trend, seasonal, and cyclical components to better capture and fit seasonal change patterns, providing more accurate predictions of clean energy development paths. In 2022, the electricity generated by City A using wind power was 31.6% more than that generated by City A using fossil fuels in 2021, and the carbon emissions were 57.1% lower. This data has provided important information for policy makers to help them formulate clean energy policies, regulations, and measures, helping to ensure social, economic, and environmental sustainability.

Suggested Citation

  • Shulei Qi, 2025. "Assessment of clean energy development path based on carbon emission data: achieving sustainable development goals," International Journal of Sustainable Development, Inderscience Enterprises Ltd, vol. 28(1), pages 24-42.
    • Handle: RePEc:ids:ijsusd:v:28:y:2025:i:1:p:24-42
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