Zobrazeno 1 - 7
of 7
pro vyhledávání: '"María Del Carmen Ruiz-Abellón"'
Publikováno v:
Energies, Vol 11, Iss 8, p 2038 (2018)
Load forecasting models are of great importance in Electricity Markets and a wide range of techniques have been developed according to the objective being pursued. The increase of smart meters in different sectors (residential, commercial, universiti
Externí odkaz:
https://doaj.org/article/1d305b9867b34a5c9f01a57e9d475fc4
Publikováno v:
Energies, Vol 9, Iss 10, p 809 (2016)
In this paper, we propose a novel approach for clustering time series, which combines three well-known aspects: a permutation-based coding of the time series, several distance measurements for discrete distributions and hierarchical clustering using
Externí odkaz:
https://doaj.org/article/a214b1fee0784dcf9bb7af732fb2350a
Autor:
Ana García-Garre, Luis Alfredo Fernández-Jiménez, Antonio Guillamón, Alberto Falces, María Del Carmen Ruiz-Abellón, Antonio Gabaldón
Publikováno v:
RIUR. Repositorio Institucional de la Universidad de La Rioja
instname
Energies; Volume 13; Issue 1; Pages: 11
instname
Energies; Volume 13; Issue 1; Pages: 11
The development of Short-Term Forecasting Techniques has a great importance for power system scheduling and managing. Therefore, many recent research papers have dealt with the proposal of new forecasting models searching for higher efficiency and ac
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a3ce7a9f9bd1705c10e46c98c623e538
https://investigacion.unirioja.es/documentos/5e1a5b7d29995226711e1148
https://investigacion.unirioja.es/documentos/5e1a5b7d29995226711e1148
Publikováno v:
Repositorio Digital de la Universidad Politécnica de Cartagena
instname
Entropy
Volume 21
Issue 3
Universidad Complutense de Madrid (UCM)
Entropy, Vol 21, Iss 3, p 306 (2019)
instname
Entropy
Volume 21
Issue 3
Universidad Complutense de Madrid (UCM)
Entropy, Vol 21, Iss 3, p 306 (2019)
Two distances based on permutations are considered to measure the similarity of two time series according to their strength of dependency. The distance measures are used together with different linkages to get hierarchical clustering methods of time
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::33ed4c571ba4ba8ab904f7de9d8c4ba2
http://hdl.handle.net/10317/9644
http://hdl.handle.net/10317/9644
Autor:
María Del Carmen Ruiz-Abellón, Antonio Guillamón, Carlos Alvarez-Bel, Antonio Gabaldón, Ana García-Garre
Publikováno v:
Sustainability
Volume 10
Issue 9
Sustainability, Vol 10, Iss 9, p 3030 (2018)
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
instname
Volume 10
Issue 9
Sustainability, Vol 10, Iss 9, p 3030 (2018)
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
instname
[EN] The development of renewable sources in residential segments is basic to achieve a sustainable energy scenario in the horizon 2030-2050 because these segments explain around 25% of the final energy consumption. Demand Response and its effective
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::720f1e4a6f188614b5cb5d9827707aae
Autor:
Sergio Valero-Verdú, C. Alvarez, María Del Carmen Ruiz-Abellón, Antonio Guillamón, Roque Molina, Antonio Gabaldón, Ana García-Garre
Publikováno v:
Sustainability; Volume 10; Issue 2; Pages: 483
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
instname
Sustainability, Vol 10, Iss 2, p 483 (2018)
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
instname
Sustainability, Vol 10, Iss 2, p 483 (2018)
[EN] The objectives of improving the efficiency, and integration, of renewable sources by 2030-2050 are complex in practice and should be linked to an increase of demand-side flexibility. The main challenges to achieving this flexibility are the lack
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::870cbf6223477dc19ae4ca674b4de7a0
Publikováno v:
Energies
Volume 11
Issue 8
Energies, Vol 11, Iss 8, p 2038 (2018)
Volume 11
Issue 8
Energies, Vol 11, Iss 8, p 2038 (2018)
Load forecasting models are of great importance in Electricity Markets and a wide range of techniques have been developed according to the objective being pursued. The increase of smart meters in different sectors (residential, commercial, universiti
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6db5769eeb217c3b30f5556a693982b2
https://doi.org/10.3390/en11082038
https://doi.org/10.3390/en11082038