Forward-Stepwise Regression Analysis to Establish the Optimal Combination of Trends in Renewable Energy Development in Taiwan
摘要
The development of renewable energy (RE) is a crucial national policy in Taiwan, aligning with global sustainability trends. This study, using data from 2019 to 2023, identifies the optimal mix of RE sources through correlation and statistical regression analysis (SRA). Findings show solar photovoltaic, geothermal, and offshore wind power significantly contribute to total renewable energy (TRE), while onshore wind, solid fuels, gas fuels, and waste energy have lesser impacts. The study recommends prioritizing conventional hydropower, solar photovoltaic, and offshore wind to boost TRE, reduce reliance on single sources, and stabilize energy supply, supporting Taiwan’s sustainable development and energy self-sufficiency goals. .