会议专题

Intelligent and Concurrent Analytic Platform for Renewable Energy Policy Assessment Using Open Data Resources

  Renewable,clean and economically viable energy sources are needed as alternatives to fossil fueled energy in order to effectively reduce carbon dioxide emissions.Often,the facilities installation costs for generating renewable energy is higher than the cost of traditional power generating facilities.Thus,governments need effective policies,regulations,and incentives to promote the usage of renewable energy.The policies used for promoting specific categories of renewable energies,such as on-shore or off-shore wind farms and solar power plants,vary significantly.These policies’ success depends on the policy goals,regulations,taxation,incentives and promotional schemes,which require careful evaluation and assessment using globally available energy/environment/economic (3E) data.The purpose of this study is to propose an intelligent and concurrent analytic platform for renewable energy policy assessment,which can automatically collect,update,integrate,and harmonize data from pre-authorized websites and online databases for analytic modeling.Further,data mining techniques (e.g.,clustering analysis and self-organizing maps – SOM) are adopted to identify types of renewable energies,their attributes,economic factors,projected demands and supplies,and environmental benefits and impacts.The research achieves three outcomes.First,the intelligent and concurrent platform architecture is developed and the prototype system is implemented with data management,decision-support model management,and user interface modules.Second,the dynamic data retrieval technique from authorized online data sources for analytic modeling is depicted.Finally,the SOM intelligent model is built and linked to the database as an analytic tool in the model management module.

Renewable Energy Self-Organizing Map Integration System

Danny Y.C.Wang Amy J.C.Trappey Charles V.Trappey S.J.Li

Department of Industrial Engineering and Engineering Management, National Tsing Hua University, Taiw Department of Management Science, National Chiao Tung University, Taiwan Institute of Natural Resources Management, National Taipei University, Taiwan

国际会议

The 21st ISPE International Conference on Concurrent Engineering (2014国际并行工程学术会议)

北京

英文

781-789

2014-09-08(万方平台首次上网日期,不代表论文的发表时间)