The increasing concerns of greenhouse gas and global climate changes need solutions for the renewable, sustainable, and economically viable energy sources to substitute traditional fossil-fueled energy sources. The installation of renewable energy facilities with sustainable operations to produce and distribute electric power require major commitments and investments from the governments and energy sectors. Common renewable energy sources, e.g., wind power (offshore or onshore), photovoltaic (PV) solar power, and geothermal power, are studied. The policies used for promoting specific renewable energy types are defined based on the policy goals, taxation, incentives, regulatory constraints, and promotional schemes. The framework of this study was originally presented in 2014. The goal of this extended study is to develop an integrated approach that applies a self-organizing map (SOM) clustering method to group similar renewable energy types using given features and adopts the analytic hierarchy process (AHP) to analyze the energy types and identify promotional strategies based on the key economic factors. An analytic system platform is developed with web-crawling data collection capabilities. The SOM and AHP methodologies are implemented as the decision support modules for the platfonn, linking the collective data as input, supporting strategic planning of renewable energy development. In summary, the research provides an IT-enabled solution platform to help governments plan and evaluate their renewable energy policies.
|Original language||American English|
|Number of pages||12|
|Journal||International Journal of Electronic Business Management|
|State||Published - 2015|