Personal information

Other IDs

ResearcherID: N-1104-2015
Scopus Author ID: 57202362596

Countries

Spain

Activities

Collapse all

Employment (1)

University of Granada: Granada, ES

2017-04-01 to present
Employment
Source: Self-asserted source
R.Rueda

Education and qualifications (3)

University of Granada: Granada, ES

2016-10-21 to 2020-12-17 | PhD in Information and Communications Technology (Computer Science and Artificial Intelligence)
Education
Source: Self-asserted source
R.Rueda

Universidad de Granada: Granada, Andalucía, ES

2015-10-01 to 2016-09-10 | Máster en Ciencia de datos e Ingeniería de Computadores
Education
Source: Self-asserted source
R.Rueda

Universidad de Granada: Granada, Andalucía, ES

2010-09-15 to 2015-07-17 | Ingeniería Informática
Education
Source: Self-asserted source
R.Rueda

Works (6)

Straight line programs for energy consumption modelling

Applied Soft Computing
2019 | Journal article
DOI: https://doi.org/10.1016/j.asoc.2019.04.001
Source: Self-asserted source
R.Rueda

Generalised Regression Hypothesis Induction for Energy Consumption Forecasting

Energies
2019-03 | Journal article | Author
DOI: 10.3390/en12061069
Contributors: R.Rueda; M.P. Cuéllar; Miguel Molina-Solana; Y. Guo; M. C. Pegalajar
Source: check_circle
Multidisciplinary Digital Publishing Institute

A comparison between NARX neural networks and symbolic regression: An application for energy consumption forecasting

Communications in Computer and Information Science
2018 | Book
DOI: 10.1007/978-3-319-91479-4_2
EID:

2-s2.0-85048036146
Contributors: Rueda Delgado, R.; Baca Ruíz, L.G.; Pegalajar Cuéllar, M.; Calvo-Flores, M.D.; Pegalajar Jiménez, M.C.
Source: Self-asserted source
R.Rueda via Scopus - Elsevier

Energy consumption forecasting based on Elman neural networks with evolutive optimization

Expert Systems with Applications
2018 | Journal article
DOI: https://doi.org/10.1016/j.eswa.2017.09.059
Source: Self-asserted source
R.Rueda

Experimental Evaluation of Straight Line Programs for Hydrological Modelling with Exogenous Variables

Hybrid Artificial Intelligent Systems
2017 | Conference paper
Part of ISBN: 978-3-319-59650-1
Source: Self-asserted source
R.Rueda

Preliminary Evaluation of Symbolic Regression Methods for Energy Consumption Modelling

Proceedings of the 6th International Conference on Pattern Recognition Applications and Methods, ICPRAM 2017, Porto, Portugal, February 24-26, 2017.
2017 | Conference paper
DOI: 10.5220/0006108100390049
Source: Self-asserted source
R.Rueda
How many people are using ORCID?