Examinando por Autor "Quesada Granja, Carlos"

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    An electricity smart meter dataset of Spanish households: insights into consumption patterns
    (Nature Research, 2024-12) Quesada Granja, Carlos; Astigarraga, Leire; Merveille, Chris; Borges Hernández, Cruz E.
    Smart meters are devices that provide detailed information about the energy consumed by specific electricity supply points, such as homes, offices, and businesses. Data from smart meters are useful for modeling energy systems, predicting electricity consumption, and understanding human behavior. We present the first smart meter dataset from Spanish electricity supply points, expanding the geographic diversity of available data on energy consumption at the household level and reducing biases in existing data, which typically come from a limited number of countries. The dataset consists of 25,559 raw hourly time series with an average length of nearly three years, spanning from November 2014 to June 2022. It also includes three subsets obtained by segmenting and cleaning the raw time series data, each focusing on the periods before, during, and after the COVID-19 lockdowns in Spain. This dataset is a valuable resource for studying electricity consumption patterns and behaviors that emerge in response to different natural experiments, such as nationwide and regional lockdowns, nighttime curfews, and changes in electricity pricing.
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    Is a massive deployment of renewable-based low voltage direct current microgrids feasible?: converters, protections, controllers, and social approach
    (Elsevier Ltd, 2022) Castillo Calzadilla, Tony; Cuesta, M. A.; Quesada Granja, Carlos; Olivares-Rodríguez, Cristian; Macarulla, Ana María; Legarda Macon, Jon; Borges Hernández, Cruz E.
    The main objective pursued by this survey is to debate the feasibility of a new distribution system in low voltage direct current (LVDC) microgrids and its impact on social development. To this end, this study provides valuable information for renewable energy planners and researchers, giving insights or solutions to reduce the transition gap between the current energy network and the future DC energy microgrids. Mainly, this article is divided into interlinking converters, protection schemes, and control systems, which have been analyzed taking into account the technical aspects of an LVDC microgrid as well as the social impact they have in poverty areas. This survey studies how low voltage DC networks can produce social welfare. In short, this paper assess social implications and technical issues, such as low inertia, grounding issues, voltage regulations, arc apparition, etc., providing a different approach to overcome these issues.
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    Ítem
    Surgery simulators based on model-order reduction
    (Elsevier Science Ltd., 2023) Quesada Granja, Carlos; Badías, Alberto; González, David; Alfaro, Icíar; Chinesta, Francisco; Cueto, Elías
    The development of realistic, credible surgery simulators for surgery planning and training is not an easy task. This is due, on the one hand, to the extremely complex physics involved: large deformations of complex living tissues, cutting and tearing and contact, among others. On the other hand, a simulators requires a very fast feedback rate: some 60 Hz if we expect visual feedback, but some 500–1000 Hz if we plan to add the simulator with haptic feedback. These very stringent requirements make it difficult to combine both ingredients, accuracy and realism, with fast responses. This is why model-order reduction has opened a new avenue for the development of such simulators. Reduced-order models allow for extremely fast feedback rates without compromising accuracy; error can be controlled by means of error estimators and so can the feedback rate, by choosing judiciously the number of degrees of freedom of the model. Among all the available reduced-order modeling techniques, we focus here on the proper generalized decomposition, a technique that has shown great promise in the field.