Universidad de Las Palmas de Gran Canaria-ko ikertzaileekin lankidetzan egindako argitalpenak (7)

2018

  1. Performance assessment of five MCP models proposed for the estimation of long-term wind turbine power outputs at a target site using three machine learning techniques

    Applied Energy, Vol. 209, pp. 455-477

2017

  1. Comparison of several measure-correlate-predict models using support vector regression techniques to estimate wind power densities. A case study

    Energy Conversion and Management, Vol. 140, pp. 334-354

2015

  1. Comparison of feature selection methods using ANNs in MCP-wind speed methods. A case study

    Applied Energy, Vol. 158, pp. 490-507

  2. PERFORMANCE ANALYSIS of CLASSIFICATION METHODS for INDOOR LOCALIZATION in VLC NETWORKS

    ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences

2011

  1. Comparison between ANNs and linear MCP algorithms in the long-term estimation of the cost per kWh produced by a wind turbine at a candidate site: A case study in the Canary Islands

    Applied Energy, Vol. 88, Núm. 11, pp. 3869-3881

  2. Influence of the input layer signals of ANNs on wind power estimation for a target site: A case study

    Renewable and Sustainable Energy Reviews, Vol. 15, Núm. 3, pp. 1556-1566

  3. Use of Bayesian networks classifiers for long-term mean wind turbine energy output estimation at a potential wind energy conversion site

    Energy Conversion and Management, Vol. 52, Núm. 2, pp. 1137-1149