Advances in Energy Efficiency through Neural-Network-Based Models von Ruiz, L. G. B., Pegalajar, M. C.

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Photovoltaic Energy Production Forecasting through Machine Learning Methods: A Scottish Solar Farm Case Study von Cabezón, L., Ruiz, L. G. B., Criado-Ramón, D., J. Gago, E., Pegalajar, M. C.

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A TensorFlow Approach to Data Analysis for Time Series Forecasting in the Energy-Efficiency Realm von Iruela, J. R. S., Ruiz, L. G. B., Capel, M. I., Pegalajar, M. C.

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Time Series Forecasting for Energy Consumption von Pegalajar, M. C., Ruiz, L. G. B.

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A Novel Non-Intrusive Load Monitoring Algorithm for Unsupervised Disaggregation of Household Appliances von Criado-Ramón, D., Ruiz, L. G. B., Iruela, J. R. S., Pegalajar, M. C.

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A real-coded genetic algorithm for training recurrent neural networks von Blanco, A., Delgado, M., Pegalajar, M.C.

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An Improved Pattern Sequence-Based Energy Load Forecast Algorithm Based on Self-Organizing Maps and Artificial Neural Networks von Criado-Ramón, D., Ruiz, L. G. B., Pegalajar, M. C.

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Munsell Soil Colour Classification Using Smartphones through a Neuro-Based Multiclass Solution von Pegalajar, M. C., Ruiz, L. G. B., Criado-Ramón, D.

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An Intelligent Approach Using Machine Learning Techniques to Predict Flow in People von Pegalajar, M. C., Ruiz, L. G. B., Pérez-Moreiras, E., Boada-Grau, J., Serrano-Fernandez, M. J.

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Printed Disposable Colorimetric Array for Metal Ion Discrimination von Ariza-Avidad, M., Salinas-Castillo, A., Cuéllar, M. P., Agudo-Acemel, M., Pegalajar, M. C., Capitán-Vallvey, L. F.

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Generalised Regression Hypothesis Induction for Energy Consumption Forecasting von Rueda, R., Cuéllar, M., Molina-Solana, M., Guo, Y., Pegalajar, M.

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Full-range optical pH sensor based on imaging techniques von Capel-Cuevas, S., Cuéllar, M.P., de Orbe-Payá, I., Pegalajar, M.C., Capitán-Vallvey, L.F.

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Energy consumption forecasting based on Elman neural networks with evolutive optimization von Ruiz, L.G.B., Rueda, R., Cuéllar, M.P., Pegalajar, M.C.

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A time-series clustering methodology for knowledge extraction in energy consumption data von Ruiz, L.G.B., Pegalajar, M.C., Arcucci, R., Molina-Solana, M.

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A parsimonious methodological framework for short-term forecasting of groundwater levels von Collados-Lara, A.J., Pulido-Velazquez, D., Ruiz, L.G.B., Pegalajar, M.C., Pardo-Igúzquiza, E., Baena-Ruiz, L.

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Towards energy efficiency: A comprehensive review of deep learning-based photovoltaic power forecasting strategies von Husein, Mauladdawilah, Gago, E.J., Hasan, Balfaqih, Pegalajar, M.C.

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A surface fit approach with a disposable optical tongue for alkaline ion analysis von Erenas, M.M., Piñeiro, O., Pegalajar, M.C., Cuellar, M.P., de Orbe-Payá, I., Capitán-Vallvey, L.F.

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Application of Fuzzy and Conventional Forecasting Techniques to Predict Energy Consumption in Buildings von Cabrera, A., Ruiz, L. G. B., Criado-Ramón, D., Barranco, C. D., Pegalajar, M. C.

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A parallel solution with GPU technology to predict energy consumption in spatially distributed buildings using evolutionary optimization and artificial neural networks von Iruela, J.R.S., Ruiz, L.G.B., Pegalajar, M.C., Capel, M.I.

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A similarity measure for Straight Line Programs and its application to control diversity in Genetic Programming von Rueda, R., Cuéllar, M.P., Ruiz, L.G.B., Pegalajar, M.C.

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