Search Results - "Luitel, Bipul"

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  1. 1

    Cellular computational networksaA scalable architecture for learning the dynamics of large networked systems by Luitel, Bipul, Venayagamoorthy, Ganesh

    Published in Neural networks (01-02-2014)
    “…Neural networks for implementing large networked systems such as smart electric power grids consist of multiple inputs and outputs. Many outputs lead to a…”
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    Journal Article
  2. 2

    Particle swarm optimization with quantum infusion for system identification by Luitel, Bipul, Venayagamoorthy, Ganesh K.

    “…System identification is a challenging and complex optimization problem due to nonlinearity of the systems and even more in a dynamic environment. Adaptive…”
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    Journal Article
  3. 3

    Cellular computational networks—A scalable architecture for learning the dynamics of large networked systems by Luitel, Bipul, Venayagamoorthy, Ganesh Kumar

    Published in Neural networks (01-02-2014)
    “…Neural networks for implementing large networked systems such as smart electric power grids consist of multiple inputs and outputs. Many outputs lead to a…”
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    Journal Article
  4. 4

    Decentralized Asynchronous Learning in Cellular Neural Networks by Luitel, B., Venayagamoorthy, G. K.

    “…Cellular neural networks (CNNs), as previously described, consist of identical units called cells that are connected to their adjacent neighbors. These cells…”
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    Journal Article
  5. 5

    Quantum inspired PSO for the optimization of simultaneous recurrent neural networks as MIMO learning systems by Luitel, Bipul, Venayagamoorthy, Ganesh Kumar

    Published in Neural networks (01-06-2010)
    “…Training a single simultaneous recurrent neural network (SRN) to learn all outputs of a multiple-input–multiple-output (MIMO) system is a difficult problem. A…”
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    Journal Article
  6. 6

    Differential evolution particle swarm optimization for digital filter design by Luitel, B., Venayagamoorthy, G.K.

    “…In this paper, swarm and evolutionary algorithms have been applied for the design of digital filters. Particle swarm optimization (PSO) and differential…”
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    Conference Proceeding
  7. 7

    Neural networks in RSCAD for intelligent real-time power system applications by Luitel, Bipul, Venayagamoorthy, Ganesh Kumar

    “…Addition of load and generation over the existing transmission lines over the past several years has added to the complexity of the electric power network…”
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    Conference Proceeding
  8. 8

    Developing neural networks library in RSCAD for real-time power system simulation by Luitel, Bipul, Kumar Venayagamoorthy, Ganesh, Oliveira, Gabriel

    “…Real-time digital simulators (RTDS) are used for real-time simulation of power systems. As the complexity of the electric power grid and associated control…”
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    Conference Proceeding
  9. 9

    Online oscillation monitoring of synchronous generators using Parallel-Prony analysis by Saraf, Parimal, Venayagamoorthy, G. Kumar, Luitel, Bipul

    Published in ISGT 2014 (01-02-2014)
    “…This paper proposes an oscillation monitoring tool capable of detecting the emergence of small signal instability events in an online fashion. The tool uses…”
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    Conference Proceeding
  10. 10

    Wide area monitoring in power systems using cellular neural networks by Luitel, B., Venayagamoorthy, G. K.

    “…The demand of power and the size and complexity of the power system is increasing. Wide area monitoring and control is an integral part in transitioning from…”
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    Conference Proceeding
  11. 11

    Particle Swarm Optimization with Quantum Infusion for the design of digital filters by Luitel, B., Venayagamoorthy, G.K.

    Published in 2008 IEEE Swarm Intelligence Symposium (01-09-2008)
    “…In this paper, particle swarm optimization with quantum infusion (PSO-QI) has been applied for the design of digital filters. In PSO-QI, Global best (gbest)…”
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    Conference Proceeding
  12. 12

    A scalable wide area monitoring system using cellular neural networks by Balasubramaniam, K., Luitel, B., Venayagamoorthy, G. K.

    “…Synchrophasor systems make power grids more observable by collecting data from various locations, time-align and process them as a coherent data set. Better…”
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    Conference Proceeding
  13. 13

    A PSO with quantum infusion algorithm for training Simultaneous Recurrent Neural Networks by Luitel, B., Venayagamoorthy, G.K.

    “…Simultaneous recurrent neural network (SRN) is one of the most powerful neural network architectures well suited for estimation and control of complex time…”
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    Conference Proceeding
  14. 14

    Enhanced wide area monitoring system by Luitel, B., Venayagamoorthy, G.K., Johnson, C.E.

    “…This paper focuses on the design of a wide area monitoring system (WAMS) in a multimachine power system with enhanced reliability, integrity and security. A…”
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    Conference Proceeding