DAVID CRIADO RAMÓN-rekin lankidetzan egindako argitalpenak (10)

2024

  1. A GPU-accelerated adaptation of the PSO algorithm for multi-objective optimization applied to artificial neural networks to predict energy consumption

    Applied Soft Computing, Vol. 160

  2. A Novel Non-Intrusive Load Monitoring Algorithm for Unsupervised Disaggregation of Household Appliances

    Information (Switzerland), Vol. 15, Núm. 2

  3. An Application of Fuzzy Symbolic Time-Series for Energy Demand Forecasting

    International Journal of Fuzzy Systems, Vol. 26, Núm. 3, pp. 703-717

2023

  1. An Improved Pattern Sequence-Based Energy Load Forecast Algorithm Based on Self-Organizing Maps and Artificial Neural Networks

    Big Data and Cognitive Computing, Vol. 7, Núm. 2

  2. Application of Fuzzy and Conventional Forecasting Techniques to Predict Energy Consumption in Buildings

    International Journal of Intelligent Systems, Vol. 2023

  3. Artificial Intelligence-Based Prediction of Spanish Energy Pricing and Its Impact on Electric Consumption

    Machine Learning and Knowledge Extraction, Vol. 5, Núm. 2, pp. 431-447

  4. Assessing the impact of soiling on photovoltaic efficiency using supervised learning techniques

    Expert Systems with Applications, Vol. 231

  5. Munsell Soil Colour Classification Using Smartphones through a Neuro-Based Multiclass Solution

    AgriEngineering, Vol. 5, Núm. 1, pp. 355-368

2022

  1. Electric demand forecasting with neural networks and symbolic time series representations

    Applied Soft Computing, Vol. 122

  2. Photovoltaic Energy Production Forecasting through Machine Learning Methods: A Scottish Solar Farm Case Study

    Energies, Vol. 15, Núm. 22