MODEL FLEXIBILITY: DEVELOPMENT OF A GENERIC DATA-DRIVEN SIMULATION

被引:6
|
作者
Brown, Nick A. [1 ]
机构
[1] KLSS, Fairborn, OH 45324 USA
关键词
D O I
10.1109/WSC.2010.5679056
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
The idea of simulation model "re-use" is a novel term that in theory will allow for quick turn-around times where budgetary constraints can hold back the development of a new model. The intention of this paper is not to examine a specific example of how a simulation was developed and utilized for "re-use", but rather explain the process of developing a computer simulation flexible enough that will allow for "re-use". The overall outcome of this type of development is a data-driven simulation model that is flexible enough to expand to many similar systems without significantly altering the code of the simulation. As a result of this data-driven simulation, companies/organizations are able to reap the benefits of reducing future development time, utilizing the model for other similar systems, achieve quick turn-around, and the ability to perform large scale sensitivity analysis.
引用
收藏
页码:1366 / 1375
页数:10
相关论文
共 50 条
  • [41] Development of a Connected Corridor Real-Time Data-Driven Traffic Digital Twin Simulation Model
    Saroj, Abhilasha J.
    Roy, Somdut
    Guin, Angshuman
    Hunter, Michael
    [J]. JOURNAL OF TRANSPORTATION ENGINEERING PART A-SYSTEMS, 2021, 147 (12)
  • [42] Data-driven based double-layer bicycle simulation model
    Mao, Tianlu
    Fang, Zhong
    Yan, Qinyuan
    Meng, Ruoyu
    Liu, Shaohua
    Wang, Zhaoqi
    [J]. COMPUTER ANIMATION AND VIRTUAL WORLDS, 2023, 34 (01)
  • [43] Simulation of supersonic axisymmetric base flow with a data-driven turbulence model
    Heo, Seoyeon
    Yun, Yeji
    Jeong, Minjae
    Jee, Solkeun
    [J]. AEROSPACE SCIENCE AND TECHNOLOGY, 2024, 147
  • [44] Data-Driven Simulation Model Generation for ERP and DES Systems Integration
    Krenczyk, Damian
    Bocewicz, Grzegorz
    [J]. INTELLIGENT DATA ENGINEERING AND AUTOMATED LEARNING - IDEAL 2015, 2015, 9375 : 264 - 272
  • [45] Transient system simulation for an aircraft engine using a data-driven model
    Kim, Sangjo
    Kim, Kuisoon
    Son, Changmin
    [J]. ENERGY, 2020, 196 (196)
  • [46] An insightful data-driven crowd simulation model based on rough sets
    Hachaj, Tomasz
    Wąs, Jaroslaw
    [J]. Information Sciences, 2025, 692
  • [47] Research on Data-Driven Fault Scenario Simulation Model of Distributed Network
    Ma, Ming
    Xu, Shujie
    Miao, Yingfang
    Chen, Shilong
    Liu, Xu
    [J]. JOURNAL OF ELECTRICAL SYSTEMS, 2024, 20 (06) : 36 - 46
  • [48] Data-Driven Modeling of Vehicle-to-Grid Flexibility in Korea
    Jang, Moon-Jong
    Kim, Taehoon
    Oh, Eunsung
    [J]. SUSTAINABILITY, 2023, 15 (10)
  • [49] A Generic Data Model for Describing Flexibility in Power Markets
    Schott, Paul
    Sedlmeir, Johannes
    Strobel, Nina
    Weber, Thomas
    Fridgen, Gilbert
    Abele, Eberhard
    [J]. ENERGIES, 2019, 12 (10)
  • [50] Data-driven flexibility prediction in low voltage power networks
    Leiva, Javier
    Aguado, Jose A.
    Paredes, Angel
    Arboleya, Pablo
    [J]. INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS, 2020, 123