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  • 标题:µGRIMOIRE: A Tool for Smart Micro Grids Modelling and Energy Profiling
  • 本地全文:下载
  • 作者:Ugo Gentile ; Stefano Marrone ; Nicola Mazzocca
  • 期刊名称:The Open Cybernetics & Systemics Journal
  • 电子版ISSN:1874-110X
  • 出版年度:2016
  • 卷号:10
  • 期号:1
  • 页码:263-282
  • DOI:10.2174/1874110X01610010263
  • 出版社:Bentham Science Publishers Ltd
  • 摘要:The construction of a usable, formal, and extensible modeller and simulator for Smart Energy Grids is of a paramount importance in the industrial settings. Final users are interested in deploying effective smart-home configurations able to satisfy energy requests in the most economical way. Hence, a tool able to forecast both energy consumption and related costs of a smart-home configuration is needed. In this paper, the μGRIMOIRE (micro GRId MOdelling envIRonmEnt) toolset is presented. This tool is based on the well-known model-driven paradigm and its successful applications in the generation of formal/quantitative models for complex systems. By using a Domain Specific Modelling Language, a final user can define a smart-home system configuration and energy saving logics. Then, the tool offers the possibility of evaluating the desired user metrics by translating the model into a Fluid Stochastic Petri Net model representing both discrete and continuous variables.
  • 关键词:Fluid Stochastic Petri Nets; Model-Driven Techniques; Hybrid Systems Design; Energy Consumption Evaluation; Smart Grid Modelling Language.
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