Analysis of Renewable Energy Policies through Decision Trees
نویسندگان
چکیده
This paper presents an alternative way of making predictions on the effectiveness and efficacy Renewable Energy (RE) policies using Decision Trees (DT). As a data-driven process for decision-making, analysis uses target achievement, predicting whether or not RE will likely be achieved (efficacy) to what degree (effectiveness), depending different criteria, including geographical context, characterizing concerns, policy characteristics. The results suggest criteria that could help policymakers in designing with higher propensity achieve desired goal. Using this tool, decision-makers can better test/predict degree. novelty present is application Machine Learning methods (through Trees) energy analysis. learning methodologies pilot before spending lots time, money, other resources. We also find techniques underscores importance data availability. A general summary has been included.
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ژورنال
عنوان ژورنال: Sustainability
سال: 2022
ISSN: ['2071-1050']
DOI: https://doi.org/10.3390/su14137720