@article{Energy2018,

title = {Stacking ensemble learning for short-term electricity consumption forecasting},

author = {F. Divina and A. Gilson and F. Goméz-Vela and M. García-Torres and J. F. Torres},

url = {https://www.mdpi.com/1996-1073/11/4/949},

doi = {https://doi.org/10.3390/en11040949},

year  = {2018},

date = {2018-01-01},

journal = {Energies},

volume = {11},

number = {4},

pages = {949},

abstract = {The ability to predict short-term electric energy demand would provide several benefits, both at the economic and environmental level. For example, it would allow for an efficient use of resources in order to face the actual demand, reducing the costs associated to the production as well as the emission of CO 2 . To this aim, in this paper we propose a strategy based on ensemble learning in order to tackle the short-term load forecasting problem. In particular, our approach is based on a stacking ensemble learning scheme, where the predictions produced by three base learning methods are used by a top level method in order to produce final predictions. We tested the proposed scheme on a dataset reporting the energy consumption in Spain over more than nine years. The obtained experimental results show that an approach for short-term electricity consumption forecasting based on ensemble learning can help in combining predictions produced by weaker learning methods in order to obtain superior results. In particular, the system produces a lower error with respect to the existing state-of-the art techniques used on the same dataset. More importantly, this case study has shown that using an ensemble scheme can achieve very accurate predictions, and thus that it is a suitable approach for addressing the short-term load forecasting problem.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{AA:Gaia-2017a,

title = {Gaia Data Release 1. Open cluster astrometry: performance, limitations, and future prospects},

author = {M. García-Torres and Gaia collaboration},

url = {https://www.aanda.org/articles/aa/abs/2017/05/aa30552-17/aa30552-17.html},

doi = {10.1051/0004-6361/201730552},

year  = {2017},

date = {2017-01-01},

journal = {Astronomy & Astrophysics},

volume = {601},

number = {A19},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{AA:Gaia-2017b,

title = {Gaia Data Release 1. Testing the parallaxes with local Cepheids and RR Lyrae stars},

author = {M. García-Torres and Gaia collaboration},

url = {https://www.aanda.org/articles/aa/abs/2017/09/aa29925-16/aa29925-16.html},

doi = {10.1051/0004-6361/201629925},

year  = {2017},

date = {2017-01-01},

journal = {Astronomy & Astrophysics},

volume = {605},

number = {A79},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{IS:GT-2016,

title = {High-dimensional feature selection via feature grouping: A Variable neighborhood Search approach},

author = {M. García-Torres and F. Gómez-Vela and B. Melián-Batista and J. Marcos Moreno-Vega},

url = {https://www.sciencedirect.com/science/article/pii/S0020025515005460},

doi = {10.1016/j.ins.2015.07.041},

year  = {2016},

date = {2016-01-01},

journal = {Information Sciences},

volume = {326},

pages = {102-118},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{AA:Gaia-2016a,

title = {The Gaia Mission},

author = {M. García-Torres and Gaia collaboration},

url = {https://www.aanda.org/articles/aa/abs/2016/11/aa29272-16/aa29272-16.html},

doi = {10.1051/0004-6361/201629272},

year  = {2016},

date = {2016-01-01},

journal = {Astronomy & Astrophysics},

volume = {595},

number = {A1},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{AA:Gaia-2016b,

title = {Gaia Data Release 1. Summary of the astrometric, photometric, and survey properties},

author = {M. García-Torres and Gaia collaboration},

url = {https://www.aanda.org/articles/aa/abs/2016/11/aa29512-16/aa29512-16.html},

doi = {10.1051/0004-6361/201629512},

year  = {2016},

date = {2016-01-01},

journal = {Astronomy & Astrophysics},

volume = {595},

number = {A2},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{IS:GT-2013,

title = {Comparison of metaheuristic strategies for peakbin selection in proteomic mass spectrometry data},

author = {M. García-Torres and R. Arma{~n}anzas and C. Bielza and P. Larra~naga},

url = {https://www.sciencedirect.com/science/article/pii/S0020025510006195},

doi = {10.1016/j.ins.2010.12.013},

year  = {2013},

date = {2013-01-01},

journal = {Information Sciences},

volume = {222},

pages = {229-246},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{AA:Cor-2013,

title = {The Gaia astrophysical parameters inference system (Apsis). Pre-launch description},

author = {M. García-Torres and Gaia Collaboration},

url = {https://www.aanda.org/articles/aa/abs/2013/11/aa22344-13/aa22344-13.html},

doi = {10.1051/0004-6361/201322344},

year  = {2013},

date = {2013-01-01},

journal = {Astronomy & Astrophysics},

volume = {559},

number = {A74},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{ESA:Rod-2012,

title = {Fast feature selection aimed at high dimensional data via hybrid-sequential-ranked searches},

author = {R. Ruíz and J. Riquelme and J. Aguilar-Ruíz and M. García-Torres},

url = {https://www.sciencedirect.com/science/article/abs/pii/S0957417412005842},

doi = {10.1016/j.eswa.2012.03.061},

year  = {2012},

date = {2012-01-01},

journal = {Expert Systems with Applications},

volume = {39},

number = {12},

pages = {11094-11102},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{TCBB:Arm-2011,

title = {Peakbin selection in mass spectrometry data using a consensus approach with estimation of distribution algorithms},

author = {R. Arma{~n}anzas and Y. Saeys and I. Inza and M. García-Torres and C. Bielza and Y. {van~de~Peer} and P. Larra~naga},

url = {https://ieeexplore.ieee.org/document/5438984},

doi = {10.1109/TCBB.2010.18},

year  = {2011},

date = {2011-01-01},

journal = {IEEE/ACM Transactions on Computational Biology and Bioinformatics},

volume = {8},

number = {3},

pages = {760-774},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{AA:Ore-2011,

title = {A search for new hot subdwarf stars by means of Virtual Observatory tools},

author = {R. Oreiro and C. Rodríguez-López and E. Solano and A. Ulla and R. Ostensen and M. García-Torres},

url = {https://www.aanda.org/articles/aa/abs/2011/06/aa16324-10/aa16324-10.html},

doi = {10.1051/0004-6361/201016324},

year  = {2011},

date = {2011-01-01},

journal = {Astronomy & Astrophysics},

volume = {530},

number = {A2},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{AA:Sol-2009,

title = {The LAEX and NASA portals for CoRot public data},

author = {M. García-Torres and Gaia Collaboration},

url = {https://www.aanda.org/articles/aa/abs/2009/40/aa12386-09/aa12386-09.html},

doi = {10.1051/0004-6361/200912386},

year  = {2009},

date = {2009-01-01},

journal = {Astronomy & Astrophysics},

volume = {506},

number = {1},

pages = {455-463},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{EJOR:GL-2006,

title = {Solving the Feature Selection Problem by a Parallel Scatter Search},

author = {F.~C. García-López and M. García-Torres and B. Melián-Batista and J.~A. Moreno Pérez and J.~M. Moreno-Vega},

url = {https://www.sciencedirect.com/science/article/abs/pii/S0377221704005491},

doi = {10.1016/j.ejor.2004.08.010},

year  = {2006},

date = {2006-01-01},

journal = {European Journal of Operations Research},

volume = {169},

number = {2},

pages = {477-489},

keywords = {},

pubstate = {published},

tppubtype = {article}

}