A mostrar 6,681 - 6,690 resultados de 8,224 para a pesquisa '"Networks."', tempo de pesquisa: 0.04seg Refinar resultados
  1. 6681

    A practical hydro, dynamic unit commitment and loading model. Por Siu, T.K

    Artigo

    A practical hydro, dynamic unit commitment and loading model.
  2. 6682

    Neural networks for short-term load forecasting a review and evaluation. Por Hippert, H.S

    Artigo

    Neural networks for short-term load forecasting a review and evaluation.
  3. 6683

    Transmission network expansion planning under a Tabu Search approach. Por Da Silva, E.L

    Artigo

    Transmission network expansion planning under a Tabu Search approach.
  4. 6684

    Reliability and reserve in competitive electricity market scheduling. Por Flynn, M.

    Artigo

    Reliability and reserve in competitive electricity market scheduling.
  5. 6685

    Z-bus loss allocation. Por Conejo, A.J

    Artigo

    Z-bus loss allocation.
  6. 6686

    Reliability and costs optimization for distribution networks expansion using an evolutionary algorithm. Por Ramirez-Rosado, I.J

    Artigo

    Reliability and costs optimization for distribution networks expansion using an evolutionary algorithm.
  7. 6687

    A robust self-calibrating transmission scheme for on-chip networks. Por Worm, F.

    Artigo

    A robust self-calibrating transmission scheme for on-chip networks.
  8. 6688

    Robust circuit and system design methodologies for nanometer-scale devices and single-electron transistors. Por Schmid, A.

    Artigo

    Robust circuit and system design methodologies for nanometer-scale devices and single-electron transistors.
  9. 6689

    Nanoscale system dynamical behaviors from quantum-dot-based cell to 1-D arrays. Por Fortuna, L.

    Artigo

    Nanoscale system dynamical behaviors from quantum-dot-based cell to 1-D arrays.
  10. 6690

    Architectural design and analysis of learnable self-feedback ratio-memory cellular nonlinear network (SRMCNN) for nanoelectronic systems. Por Lai, J.-L

    Artigo

    Architectural design and analysis of learnable self-feedback ratio-memory cellular nonlinear network (SRMCNN) for nanoelectronic systems.

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