A new missing data imputation algorithm applied to electrical data loggers
Spanish Economics and Competitiveness Ministry [AYA2014-57648-P]; Government of the Principality of Asturias (Consejeria de Economia y Empleo) [FC-15-GRUPIN14-017]
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Spanish Economics and Competitiveness Ministry [AYA2014-57648-P]; Government of the Principality of Asturias (Consejeria de Economia y Empleo) [FC-15-GRUPIN14-017]
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[Resumen] El almacenamiento de energía es vital en una economía global moderna, en la que las energías renovables, con un inherente carácter variable y estacional, adquieran un protagonismo mayoritario. Una opción para el almacenamiento de energía consiste en la producción de hidrógeno a través de la electrólisis del agua con excedentes de electricidad de origen renovable, que posteriormente se puede utilizar nuevamente para producir electricidad en una pila de combustible, un motor de combustión interna o una turbina de gas, entre otras numerosas aplicaciones. El almacenamiento de hidrógeno renovable, cada vez más cerca de alcanzar la competitividad económica, está disfrutando de un impulso político y empresarial sin precedentes, y se espera que la cantidad de proyectos y políticas favorables en el mundo aumenten rápidamente en los próximos años. El creciente interés en esta alternativa de almacenamiento está motivado por la urgencia de la reducción de las emisiones de gases de efecto invernadero, por la caída de los costes de las energías renovables y por los desafíos de integración de sistemas energéticos derivados de la creciente participación de las energías renovables no gestionables. Este libro trata de examinar las distintas tecnologías disponibles para la producción, almacenamiento y utilización final del hidrógeno como vector energético. ; [Abstract] Energy storage plays a key role in the modern global economy, in which variable renewable energies are growingly acquiring a major part. One option for energy storage is the production of hydrogen through electrolysis of water with renewable electricity, which can later be used again to produce electricity in a fuel cell, internal combustion engine or gas turbine, among other applications. Renewable hydrogen is quickly approaching economic competitiveness and enjoying unprecedented political and business momentum, with the number of favorable policies and projects worldwide expected to increase rapidly in the coming years. The rising interest in this storage alternative is driven by the urgency of greenhouse gas emission mitigation, by the falling costs of renewable power and by systems integration challenges due to rising shares of variable renewable power supply. This book aims at reviewing the different available technologies for hydrogen production, storage and final use as an energy vector. ; [Resumo] O almacenamento de enerxía é vital nunha economía global moderna, na que as enerxías renovables, cun inherente carácter variable e estacional, adquiran un protagonismo maioritario. Unha opción para o almacenamento de enerxía consiste na produción de hidróxeno a través da electrólise da auga con excedentes de electricidade de orixe renovable, que posteriormente pódese utilizar novamente para producir electricidade nunha pila de combustible, un motor de combustión interna ou unha turbina de gas, entre outras numerosas aplicacións. O almacenamento de hidróxeno renovable, cada vez máis preto de alcanzar a competitividade económica, está a gozar dun impulso político e empresarial sen precedentes, e espérase que a cantidade de proxectos e políticas favorables no mundo aumenten rapidamente nos próximos anos. O crecente interese nesta alternativa de almacenamento está motivado pola urxencia da redución das emisións de gases de efecto invernadoiro, pola caída dos custos das enerxías renovables e polos desafíos de integración de sistemas enerxéticos derivados da crecente participación das enerxías renovables non xestionables. Este libro trata de examinar as distintas tecnoloxías dispoñibles para a produción, almacenamento e utilización final do hidróxeno como vector enerxético.
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[Resumen] La enfermedad del coronavirus (COVID-19) ha provocado una grave crisis de salud con consecuencias socio-económicas sin precedentes. Desde la declaración de pandemia por parte de la Organización Mundial de la Salud, la mayoría de los gobiernos aplicaron políticas de control como el confinamiento, la restriccón de la movilidad, el distanciamiento social, etc. En este contexto, adaptar la planificación educativa a ese escenario conlleva un gran desafío para la comunidad educativa global. Además, dado que las prácticas presenciales de laboratorio en la educación superior fueron canceladas temporalmente, la creación de escenarios virtuales realistas mediante modernas aplicaciones software representa una alternativa interesante y necesaria. Este enfoque práctico se puede lograr mediante el uso de dos herramientas de software interesantes, como Node-RED y Factory I/O. En este trabajo se propone la implementación de una planta de laboratorio virtual utilizando las herramientas mencionadas anteriormente, con características muy similares a las plantas de laboratorio reales de la Facultad de Ingeniería de la Universidad de A Coruña. ; [Abstract] The coronavirus disease (COVID-19) has caused a serious health crisis with unprecedented socio-economic consequences. Since the declaration of a pandemic by the World Health Organization, most governments have applied control policies such as con nement, restriction of mobility, social distancing, etc. In this context, adapting educational planning to this scenario poses a great challenge for the global educational community. In addition, given that the face-to-face laboratory practices in higher education were temporarily canceled, the creation of realistic virtual scenarios using modern software applications represents an interesting and necessary alternative. This practical approach can be achieved by using two interesting software tools, such as Node-RED and Factory I/O. In this work, the implementation of a virtual laboratory plant is proposed using the tools mentioned above, with characteristics very similar to the real laboratory plants of the Faculty of Engineering of the University of A Coruña.
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This research has been funded by the University of A Coruna, and by the Spanish Ministry of Education, Culture and Sport (grant for Collaboration in University Departments). We would like to express our utmost gratitude to the Nuclear Security Council of Spain, without whose collaboration this research would not have been possible. Also, authors appreciate support from the Spanish Economics and Competitiveness Ministry, through grant AYA2014-57648-P and the Government of the Principality of Asturias (Consejeria de Economia y Empleo), through grant FC-15-GRUPIN14-017
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This research has been funded by the Spanish Ministry of Science and Innovation under project MINECO-TIN2017-84804-R and by the Grant FC-GRUPIN-IDI/2018/000226 project from the Asturias Regional Government.
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The storage of data is a key process in the study of electrical power networks related to the search for harmonics and the finding of a lack of balance among phases. The presence of missing data of any of the main electrical variables (phase-to-neutral voltage, phase-to-phase voltage, current in each phase and power factor) affects any time series study in a negative way that has to be addressed. When this occurs, missing data imputation algorithms are required. These algorithms are able to substitute the data that are missing for estimated values. This research presents a new algorithm for the missing data imputation method based on Self-Organized Maps Neural Networks and Mahalanobis distances and compares it not only with a well-known technique called Multivariate Imputation by Chained Equations (MICE) but also with an algorithm previously proposed by the authors called Adaptive Assignation Algorithm (AAA). The results obtained demonstrate how the proposed method outperforms both algorithms ; Francisco Javier de Cos Juez and Fernando Sánchez Lasheras appreciate support from the Spanish Economics and Competitiveness Ministry, through grant AYA2014-57648-P and the Government of the Principality of Asturias (Consejería de Economía y Empleo), through grant FC-15-GRUPIN14-017
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[Abstract] The administration of anesthetics during a surgical procedure has been done historically in a manual way with the anesthesiologist deciding what amounts and at what rates to use. Over the last few decades there has been a rapid increase in the automation of many medical areas including anesthesiology, with that increased level of automation have also appeared new ways to measure the level of sedation in patients. Historically, one of the most frequently index used has been the BIS, which has proven rather reliable as an indicator. More recently, another index called PSI has attracted interest of practitioners. In this article a comparison of these two indexes was performed. Data recording BIS and PSI values from surgical operations for several patients were collected and analyzed. The results seem to indicate that it is to be expected that in 95% of the cases the correlation between the BIS and PSI index will be at least 0.6866. ; This work has been supported by the grant DPI2010-18278 of the Spanish Government ; https://doi.org/10.17979/spudc.9788497498081
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The authors appreciate support from the Spanish Economics and Competitiveness Ministry, through grant AYA2014-57648-P and the Government of the Principality of Asturias (Consejería de Economía y Empleo), through grant FC-15-GRUPIN14-017.
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