![Foto de Jose Francisco](/img/uploaded/F417D0D05CC29FB030E0E84A11275DDA.png)
Jose Francisco
Torres Maldonado
Publications (25) Publications de Jose Francisco Torres Maldonado
2024
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Advances in time series forecasting: innovative methods and applications
AIMS Mathematics
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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)
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An evolutionary triclustering approach to discover electricity consumption patterns in France
Proceedings of the ACM Symposium on Applied Computing
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Water consumption time series forecasting in urban centers using deep neural networks
Applied Water Science, Vol. 14, Núm. 2
2023
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Electricity consumption forecasting with outliers handling based on clustering and deep learning with application to the Algerian market
Expert Systems with Applications, Vol. 227
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Explainable Artificial Intelligence for Education: A Real Case of a University Subject Switched to Python
Lecture Notes in Networks and Systems
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Neuroevolutionary Transfer Learning for Time Series Forecasting
Lecture Notes in Networks and Systems
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Predicting Wildfires in the Caribbean Using Multi-source Satellite Data and Deep Learning
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
2022
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A deep LSTM network for the Spanish electricity consumption forecasting
Neural Computing and Applications, Vol. 34, Núm. 13, pp. 10533-10545
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Deformation forecasting of a hydropower dam by hybridizing a long short-term memory deep learning network with the coronavirus optimization algorithm
Computer-Aided Civil and Infrastructure Engineering, Vol. 37, Núm. 11, pp. 1368-1386
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Electricity consumption forecasting based on ensemble deep learning with application to the Algerian market
Energy, Vol. 243
2021
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Deep Learning for Time Series Forecasting: A Survey
Big Data, Vol. 9, Núm. 1, pp. 3-21
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Electricity Consumption Time Series Forecasting Using Temporal Convolutional Networks
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
2020
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Coronavirus Optimization Algorithm: A Bioinspired Metaheuristic Based on the COVID-19 Propagation Model
Big data, Vol. 8, Núm. 4, pp. 308-322
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Hybridizing deep learning and neuroevolution: Application to the Spanish short-term electric energy consumption forecasting
Applied Sciences (Switzerland), Vol. 10, Núm. 16
2019
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Big data solar power forecasting based on deep learning and multiple data sources
Expert Systems
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Deep Learning for Big Data Time Series Forecasting Applied to Solar Power
Advances in Intelligent Systems and Computing
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Random Hyper-parameter Search-Based Deep Neural Network for Power Consumption Forecasting
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
2018
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A novel spark-based multi-step forecasting algorithm for big data time series
Information Sciences, Vol. 467, pp. 800-818
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A scalable approach based on deep learning for big data time series forecasting
Integrated Computer-Aided Engineering, Vol. 25, Núm. 4, pp. 335-348