Publications (217) PAULINO JOSE GARCIA NIETO publications

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2025

  1. Interpretable machine learning models for forecasting elemental composition of solid biomass fuels from proximate analyses in energy processes

    Journal of the Energy Institute, Vol. 123

  2. Machine learning model for hourly power forecast in combined cycle plants using MARS and whale optimisation

    Thermal Science and Engineering Progress, Vol. 65

  3. Optimised random forest for predicting bed expansion and pressure drop in media filter backwashing

    Biosystems Engineering, Vol. 256

  4. Prediction of the bed expansion and pressure drop in microirrigation media filter backwashing using artificial neural networks and comparison with other machine learning techniques

    Smart Agricultural Technology, Vol. 11

2024

  1. Estimation of the coal higher heating value for energy systems relied on ultimate analysis with machine learning techniques

    Fuel, Vol. 357

  2. Forecast of chlorophyll-a concentration as an indicator of phytoplankton biomass in El Val reservoir by utilizing various machine learning techniques: A case study in Ebro river basin, Spain

    Journal of Hydrology, Vol. 639

  3. Forecast of the outlet turbidity and filtered volume in different microirrigation filters and filtration media by using machine learning techniques

    Journal of Computational and Applied Mathematics, Vol. 439

  4. Hybrid DE optimised kernel SVR–relied techniques to forecast the outlet turbidity and outlet dissolved oxygen in distinct filtration media and micro-irrigation filters

    Biosystems Engineering, Vol. 243, pp. 42-56

  5. Hybrid DE-Optimized GPR and NARX/SVR Models for Forecasting Gold Spot Prices: A Case Study of the Global Commodities Market

    Mathematics, Vol. 12, Núm. 7

  6. Numerical model for determining the effective heat capacity of macroencapsulated PCM for building applications

    Applied Thermal Engineering, Vol. 242

  7. Predicting the critical superconducting temperature using the random forest, MLP neural network, M5 model tree and multivariate linear regression

    Alexandria Engineering Journal, Vol. 86, pp. 144-156

  8. Time series analysis for COMEX platinum spot price forecasting using SVM, MARS, MLP, VARMA and ARIMA models: A case study

    Resources Policy, Vol. 95

2023

  1. A support vector regression model for time series forecasting of the COMEX copper spot price

    Logic Journal of the IGPL, Vol. 31, Núm. 4, pp. 775-784

  2. Data-driven state-of-charge prediction of a storage cell using ABC/GBRT, ABC/MLP and LASSO machine learning techniques

    Journal of Computational and Applied Mathematics, Vol. 433

  3. Method for the Detection of Functional Outliers Applied to Quality Monitoring Samples in the Vicinity of El Musel Seaport in the Metropolitan Area of Gijón (Northern Spain)

    Mathematics, Vol. 11, Núm. 12

  4. Modelling energy performance of residential dwellings by using the MARS technique, SVM-based approach, MLP neural network and M5 model tree

    Applied Energy, Vol. 341

  5. Modelling hydrogen production from biomass pyrolysis for energy systems using machine learning techniques

    Environmental Science and Pollution Research, Vol. 30, Núm. 31, pp. 76977-76991

2022

  1. Análisis de la bibliografía disponible para el tema de aritmética finita y teoría de errores de la asignatura de Computación Numérica del Grado en Ingeniería Informática del Software y recomendaciones para su uso

    Avances y desafíos para la transformación educativa

  2. Evaluation of implementation of biomass and solar resources by energy systems in the coal-mining areas of spain

    Energies, Vol. 15, Núm. 1

  3. Forecast of the higher heating value based on proximate analysis by using support vector machines and multilayer perceptron in bioenergy resources

    Fuel, Vol. 317