Zobrazeno 1 - 7
of 7
pro vyhledávání: '"María del Carmen Pegalajar Jiménez"'
Autor:
Marcos Hernández Rodríguez, Luis Gonzaga Baca Ruiz, David Criado Ramón, María del Carmen Pegalajar Jiménez
Publikováno v:
Machine Learning and Knowledge Extraction, Vol 5, Iss 2, Pp 431-447 (2023)
The energy supply sector faces significant challenges, such as the ongoing COVID-19 pandemic and the ongoing conflict in Ukraine, which affect the stability and efficiency of the energy system. In this study, we highlight the importance of electricit
Externí odkaz:
https://doaj.org/article/ca43af043cb345a0ba06bc50362fa649
Autor:
Luis Gonzaga Baca Ruiz, Manuel Pegalajar Cuéllar, Miguel Delgado Calvo-Flores, María Del Carmen Pegalajar Jiménez
Publikováno v:
Energies, Vol 9, Iss 9, p 684 (2016)
This paper addresses the problem of energy consumption prediction using neural networks over a set of public buildings. Since energy consumption in the public sector comprises a substantial share of overall consumption, the prediction of such consump
Externí odkaz:
https://doaj.org/article/0cc0dc0af0034bdba1a63a15804c4647
Application of classical and advanced machine learning models to predict personality on social media
Publikováno v:
Expert Systems with Applications. 216:119498
Autor:
L.G.B. Ruiz, Miguel Delgado Calvo-Flores, Ramón Rueda Delgado, Manuel Pegalajar Cuéllar, María del Carmen Pegalajar Jiménez
Publikováno v:
Communications in Computer and Information Science ISBN: 9783319914787
IPMU (3)
IPMU (3)
Energy efficiency in public buildings has become a major research field, due to the impacts of the energy consumption in terms of pollution and economic aspects. For this reason, governments know that it is necessary to adopt measures in order to min
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::39285e69f618b2585ce4f23fc32d9d1e
https://doi.org/10.1007/978-3-319-91479-4_2
https://doi.org/10.1007/978-3-319-91479-4_2
Publikováno v:
European Space Projects: Developments, Implementations and Impacts in a Changing World.
Autor:
Manuel Pegalajar Cuéllar, María del Carmen Pegalajar Jiménez, Miguel Delgado Calvo-Flores, L.G.B. Ruiz
Publikováno v:
Energies; Volume 9; Issue 9; Pages: 684
Energies, Vol 9, Iss 9, p 684 (2016)
Energies, Vol 9, Iss 9, p 684 (2016)
This paper addresses the problem of energy consumption prediction using neural networks over a set of public buildings. Since energy consumption in the public sector comprises a substantial share of overall consumption, the prediction of such consump
Publikováno v:
Scopus-Elsevier
In previous works, we showed how Recurrent Neural Networks, trained with Genetic Algorithms, can achieve a good performance in Time Series Pre-diction problems. However, the problem of finding the optimal structure of the Network is still a tedious t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e1395e417db56b6c08f5345e94ee1c44
http://www.scopus.com/inward/record.url?eid=2-s2.0-85015264938&partnerID=MN8TOARS
http://www.scopus.com/inward/record.url?eid=2-s2.0-85015264938&partnerID=MN8TOARS