Publications (181) Alicia Troncoso Lora publications

2024

  1. A novel incremental ensemble learning for real-time explainable forecasting of electricity price

    Knowledge-Based Systems, Vol. 305

  2. Advances in time series forecasting: innovative methods and applications

    AIMS Mathematics

  3. An Experimental Comparison of Qiskit and Pennylane for Hybrid Quantum-Classical Support Vector Machines

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

  4. Ground-Level Ozone Forecasting Using Explainable Machine Learning

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

  5. Medium-term water consumption forecasting based on deep neural networks

    Expert Systems with Applications, Vol. 247

  6. Pattern sequence-based algorithm for multivariate big data time series forecasting: Application to electricity consumption

    Future Generation Computer Systems, Vol. 154, pp. 397-412

  7. Preface

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

  8. Técnicas Big Data para la predicción de la demanda y precio eléctrico

    Economía industrial, Núm. 431, pp. 119-130

  9. Water consumption time series forecasting in urban centers using deep neural networks

    Applied Water Science, Vol. 14, Núm. 2

2023

  1. A Cluster-Based Deep Learning Model for Energy Consumption Forecasting in Ethiopia

    Lecture Notes in Networks and Systems

  2. A New Hybrid CNN-LSTM for Wind Power Forecasting in Ethiopia

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

  3. A new Apache Spark-based framework for big data streaming forecasting in IoT networks

    Journal of Supercomputing, Vol. 79, Núm. 10, pp. 11078-11100

  4. A new approach based on association rules to add explainability to time series forecasting models

    Information Fusion, Vol. 94, pp. 169-180

  5. A novel distributed forecasting method based on information fusion and incremental learning for streaming time series

    Information Fusion, Vol. 95, pp. 163-173

  6. A novel semantic segmentation approach based on U-Net, WU-Net, and U-Net++ deep learning for predicting areas sensitive to pluvial flood at tropical area

    International Journal of Digital Earth, Vol. 16, Núm. 1, pp. 3661-3679

  7. Contexto europeo de la Inteligencia Artificial

    Escritura pública, Núm. 142

  8. Deep Learning-Based Approach for Sleep Apnea Detection Using Physiological Signals

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

  9. Evolutionary computation to explain deep learning models for time series forecasting

    Proceedings of the ACM Symposium on Applied Computing

  10. Explainable Artificial Intelligence for Education: A Real Case of a University Subject Switched to Python

    Lecture Notes in Networks and Systems

  11. Explainable Artificial Intelligence for the Electric Vehicle Load Demand Forecasting Problem

    Lecture Notes in Networks and Systems