Global Trends in Renewable Energy Adoption: A Data Analytics Approach for Sustainable Energy Planning
DOI:
https://doi.org/10.69980/wydpsb57Keywords:
: Renewable Energy Adoption, Sustainable Energy Planning, Data AnalyticsAbstract
Environmental and climate change issues, energy security and sustainable economic development are pushing the shift to renewables to the top of the global energy agenda. Although there have been considerable advances in renewable energy deployment, there are significant differences between countries. This study is focused on the worldwide developments of renewable energy consumption as a data analytics approach towards sustainable energy planning. To explore the connections between the adoption of renewable energy and relevant economic, environmental, technological and investment factors in various countries between 2018 and 2025 a quantitative analytical approach was used. Descriptive statistics, trend analysis, correlation analysis, multiple regression analysis, cluster analysis and forecasting analysis were used in the analysis to assess the level of adoption and the key factors. The results show that there is a steady rise in the use of renewable energy, with 39.42% of renewable energy being used in 2018 and increasing to 53.88% by 2025. The regression results show that the variables of renewable energy investment, policy support, technological readiness, grid readiness, and GDP per capita significantly and positively affect renewable energy adoption, while policy support has a negative effect. The study highlights the importance of a coordinated strategy that integrates data-driven decision-making, technological advancements, and investment planning to accelerate global energy transition. The results are meaningful for policy makers, energy planners, stakeholder groups that want to support sustainable development of energy and sustainable environmental and economic outcome in the long-term.
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