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Algoritmo para la detección de formas aplicable a la estimación solar

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Algoritmo para la detección de formas aplicable a la estimación solar

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dc.contributor.author Aguilar-López, J. M. es_ES
dc.contributor.author García, R. A. es_ES
dc.contributor.author Camacho, E. F. es_ES
dc.date.accessioned 2021-07-07T10:33:18Z
dc.date.available 2021-07-07T10:33:18Z
dc.date.issued 2021-07-01
dc.identifier.issn 1697-7912
dc.identifier.uri http://hdl.handle.net/10251/168917
dc.description.abstract [EN] This paper presents a bio-inspired hybrid algorithm for shape detection applicable to solar estimation in solar power plants. The objective is to locate and characterise the shape of a cloud over a solar power plant based on low level irradiance measurement with a small fleet of Unmanned Aerial Vehicles (UAVs) equipped with direct normal irradiance sensors. Toe hybrid algorithm takes inspiration and adapts ideas of the ant colony optimisation algorithm (ACO) and also uses a standard cover area algorithm, separating the field into two grids, one for each layer of the algorithm, to find the area affected by the cloud. Once the low irradiance zone is located by one of the UAVs, the others go to help it. This team delimits the cloud border using concepts of an image processing technique. Finally, the algorithm is tested by simulations. es_ES
dc.description.abstract [ES] En este artículo se presenta un algoritmo híbrido bio-inspirado para la detección de formas aplicado a la estimación solar en plantas solares. Se tiene como objetivo localizar y caracterizar la forma de una nube sobre una planta solar basándose en medidas de niveles bajos de la irradiancia con una pequeña flota de vehículos aéreos no tripulados (UAVs en inglés) equipados con sensores capaces de medir la irradiancia directa normal. El algoritmo híbrido propuesto se inspira y adapta las ideas del algoritmo de optimización de colonia de hormigas (ant colony optimization, ACO) y también usa un algoritmo estándar de cobertura de área, separándose el campo de la planta solar en dos mallados, uno para cada capa del algoritmo, para encontrar el área afectada por la nube. Cuando un UAV localiza la zona de baja irradiancia, los otros van a ayudarle. Dicho equipo delimita el borde de la nube usando conceptos de técnicas de procesamiento de imágenes. Finalmente, se prueba el algoritmo propuesto mediante simulaciones. es_ES
dc.description.sponsorship Este proyecto ha recibido fondos del European Research Council (ERC) en el marco del programa 'European Union's Horizon 2020 and innovation programme' (grant agreement No 789051). es_ES
dc.language Español es_ES
dc.publisher Universitat Politècnica de València es_ES
dc.relation.ispartof Revista Iberoamericana de Automática e Informática industrial es_ES
dc.rights Reconocimiento - No comercial - Compartir igual (by-nc-sa) es_ES
dc.subject Estimation es_ES
dc.subject Mobile robots es_ES
dc.subject Two layers algorithm es_ES
dc.subject Estimación es_ES
dc.subject Robots móviles es_ES
dc.subject Algoritmo de dos capas es_ES
dc.title Algoritmo para la detección de formas aplicable a la estimación solar es_ES
dc.title.alternative Shape detection algorithm applicable to solar estimation es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.4995/riai.2021.14765
dc.relation.projectID info:eu-repo/grantAgreement/EC/H2020/789051/EU/Optimal Control of Thermal Solar Energy Systems/ es_ES
dc.rights.accessRights Abierto es_ES
dc.description.bibliographicCitation Aguilar-López, JM.; García, RA.; Camacho, EF. (2021). Algoritmo para la detección de formas aplicable a la estimación solar. Revista Iberoamericana de Automática e Informática industrial. 18(3):277-287. https://doi.org/10.4995/riai.2021.14765 es_ES
dc.description.accrualMethod OJS es_ES
dc.relation.publisherversion https://doi.org/10.4995/riai.2021.14765 es_ES
dc.description.upvformatpinicio 277 es_ES
dc.description.upvformatpfin 287 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 18 es_ES
dc.description.issue 3 es_ES
dc.identifier.eissn 1697-7920
dc.relation.pasarela OJS\14765 es_ES
dc.contributor.funder European Commission es_ES
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