Jaime Lloret Mauri-rekin lankidetzan egindako argitalpenak (12)

2019

  1. Shallow neural network with kernel approximation for prediction problems in highly demanding data networks

    Expert Systems with Applications, Vol. 124, pp. 196-208

2018

  1. Deep Learning Model for Multimedia Quality of Experience Prediction Based on Network Flow Packets

    IEEE Communications Magazine, Vol. 56, Núm. 9, pp. 110-117

  2. Intelligent IoT traffic classification using novel search strategy for fast-based-correlation feature selection in industrial environments

    IEEE Internet of Things Journal, Vol. 5, Núm. 3, pp. 1616-1624

2017

  1. Conditional variational autoencoder for prediction and feature recovery applied to intrusion detection in iot

    Sensors (Switzerland), Vol. 17, Núm. 9

  2. Network Traffic Classifier with Convolutional and Recurrent Neural Networks for Internet of Things

    IEEE Access, Vol. 5, pp. 18042-18050

2014

  1. A survey on electric power demand forecasting: Future trends in smart grids, microgrids and smart buildings

    IEEE Communications Surveys and Tutorials, Vol. 16, Núm. 3, pp. 1460-1495

  2. Artificial neural network for short-term load forecasting in distribution systems

    Energies, Vol. 7, Núm. 3, pp. 1576-1598

  3. Artificial neural networks for short-term load forecasting in microgrids environment

    Energy, Vol. 75, pp. 252-264

2013

  1. A multi-agent system architecture for smart grid management and forecasting of energy demand in virtual power plants

    IEEE Communications Magazine, Vol. 51, Núm. 1, pp. 106-113

  2. Experimental analysis of the input variables' relevance to forecast next day's aggregated electric demand using neural networks

    Energies, Vol. 6, Núm. 6, pp. 2927-2948

  3. Improved short-term load forecasting based on two-stage predictions with artificial neural networks in a microgrid environment

    Energies, Vol. 6, Núm. 9, pp. 4489-4507

  4. Short-term load forecasting for microgrids based on artificial neural networks

    Energies, Vol. 6, Núm. 3, pp. 1385-1408