Publikationen, an denen er mitarbeitet Jesús Manuel Riquelme Santos (10)

2019

  1. A novel ensemble method for electric vehicle power consumption forecasting: Application to the Spanish system

    IEEE Access, Vol. 7, pp. 120840-120856

2017

  1. Application of the Weighted Nearest Neighbor Method to Power System Forecasting Problems

    ADVANCES IN ELECTRIC POWER AND ENERGY SYSTEMS: Load and Price Forecasting (wiley), pp. 41-88

2008

  1. Evolutionary techniques applied to the optimal short-term scheduling of the electrical energy production

    European Journal of Operational Research, Vol. 185, Núm. 3, pp. 1114-1127

2007

  1. Discovering patterns in electricity price using clustering techniques

    Renewable Energy and Power Quality Journal, Vol. 1, Núm. 5, pp. 174-181

  2. Electricity market price forecasting based on weighted nearest neighbors techniques

    IEEE Transactions on Power Systems, Vol. 22, Núm. 3, pp. 1294-1301

  3. Partitioning-clustering techniques applied to the electricity price time series

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

2004

  1. Application of evolutionary computation techniques to the optimal short-term scheduling of the electrical energy production

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

  2. Time-series prediction: Application to the short-term electric energy demand

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

2003

  1. Influence of kNN-based load forecasting errors on optimal energy production

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 2902, pp. 189-203

2002

  1. A comparison of two techniques for next-day electricity price forecasting

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)