Persona: Dormido Canto, Raquel
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Dirección de correo electrónico
raquel@dia.uned.es
ORCID
0000-0003-1175-5065
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Dormido Canto
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Raquel
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23 resultados
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Publicación Desarrollo de laboratorios virtuales, interactivos y remotos utilizando Easy Java Simulations y modelos Simulink(XII Latin-American Congress on Automatic Control , CD-ROM del Congreso, Salvador de Bahía (Brasil), october 2006, 2006-01-01) Esquembre Martínez, Francisco; Dormido Bencomo, Sebastián; Vargas Oyarzún, Héctor; Canto Díez, María Antonia; Sánchez Moreno, José; Dormido Canto, Raquel; Duro Carralero, Natividad; Farias, GonzaloPublicación Development of a Web-Based Control Laboratory for Automation Technicians: The Three-Tank System(IEEE TRANSACTIONS ON EDUCATION, 2007-01-01) Vargas Oyarzún, Héctor; Dormido Bencomo, Sebastián; Dormido Canto, Raquel; Duro Carralero, Natividad; Sánchez Moreno, José; Dormido Canto, Sebastián; Farias, GonzaloPublicación Red Automatl@bs. Compartiendo recursos de experimentación a través de Internet: la experiencia Automatl@bs(2009-09-01) Dormido Bencomo, Sebastián; Vargas Oyarzún, Héctor; Canto Díez, María Antonia; Sánchez Moreno, José; Dormido Canto, Raquel; Duro Carralero, Natividad; Dormido Canto, Sebastián; Morilla García, Fernando; Farias, GonzaloPublicación A systematic two-layer approach to develop Web-based experimentation environments for control engineering education((submitted), 2007-01-01) Vargas Oyarzún, Héctor; Dormido Bencomo, Sebastián; Sánchez Moreno, José; Dormido Canto, Raquel; Dormido Canto, Sebastián; Farias, GonzaloPublicación Using Web-based laboratories for control engineering education(International Conference on Engineering Education – ICEE 2007, 2007-09-03) Dormido Bencomo, Sebastián; Vargas Oyarzún, Héctor; Esquembre Martínez, Francisco; Sánchez Moreno, José; Duro Carralero, Natividad; Dormido Canto, Raquel; Dormido Canto, SebastiánPublicación Data mining technique for fast retrieval of similar waveforms in Fusion massive databases(Elsevier, 2008-01-01) Vega, J.; Pereira González, Augusto; Portas, A.; Santos, Matilde; Sánchez, E.; Pajares Martínsanz, Gonzalo; Dormido Canto, Sebastián; Dormido Canto, Raquel; Sánchez Moreno, José; Duro Carralero, Natividad; Farias, GonzaloFusion measurement systems generate similarwaveforms for reproducible behavior.Amajor difficulty related to data analysis is the identification, in a rapid and automated way, of a set of discharges with comparable behaviour, i.e. discharges with “similar” waveforms. Here we introduce a new technique for rapid searching and retrieval of “similar” signals. The approach consists of building a classification system that avoids traversing the whole database looking for similarities. The classification system diminishes the problem dimensionality (by means of waveform feature extraction) and reduces the searching space to just the most probable “similar” waveforms (clustering techniques). In the searching procedure, the input waveform is classified in any of the existing clusters. Then, a similarity measure is computed between the input signal and all cluster elements in order to identify the most similar waveforms. The inner product of normalized vectors is used as the similarity measure as it allows the searching process to be independent of signal gain and polarity. This development has been applied recently to TJ-II stellarator databases and has been integrated into its remote participation system.Publicación Explainable AI for predicting household demand flexibility: Insights from smart meter data and price-based programs(Elsevier, 2026-01-27) Bañales, Santiago; Dormido Canto, Raquel; Duro Carralero, NatividadUnlocking Demand‐Side Flexibility (DSF) at scale is essential for integrating variable renewables and electrified end-uses. We develop a scalable, explainable-AI framework to assess the predictability and drivers of household responsiveness to price-based programs using only data typically available to utilities (smart meters, basic weather, limited socio-economic tags). Using the public Low Carbon London Time-of-Use (ToU) pilot, we first estimate responsiveness with Least Absolute Shrinkage and Selection Operator (LASSO) at both aggregated and household levels—overall and by hour—to quantify effect sizes and heterogeneity. We then train Gradient-Boosting (GB) models and apply SHapley Additive exPlanations (SHAP) to assess the hierarchy and direction of drivers of flexibility. Results show statistically significant but moderate average responses with wide dispersion across households and time-of-day, including a significant percentage of counter-intuitive reactions to price. Features capturing unexplained variability in hourly and daily load (e.g., dispersion measures of residual components) are the strongest positive predictors of flexibility, whereas seasonality/predictability indicators (autocorrelation and seasonal strength) are neutral or negative. SHAP dependence plots reveal clear thresholds, breakpoints, and saturation effects, underscoring the nonlinearity of behavioral response. Because the feature set is derived from routinely collected data, the approach is replicable and operationally practical. The findings enable data-driven targeting of high-potential households and support the design of digital orchestration platforms for near-time demand response, informing tariff design, aggregator strategies, and regulatory guidance for market-based DSF.Publicación Developing and Implementing Virtual and Remote Labs for Control Education: The UNED pilot experience(17th IFAC World Congress (IFAC'08) Seoul, Korea, July 6-11, 2008, 2008-07-06) Dormido Bencomo, Sebastián; Vargas Oyarzún, Héctor; Dormido Canto, Raquel; Duro Carralero, Natividad; Dormido Canto, Sebastián; Morilla García, FernandoLast years, research efforts on the development of virtual and remote laboratories in control engineering education have been reported in many conferences, workshops and journals. However, it is observed that pilot experiences about the utilization of web-based laboratories are not habitual practices. In this paper it is described the pilot experience of the Department of Computer Science and Automatic Control of the Spanish University of Distance Learning (UNED) about the introduction of three webbased laboratories in a course on process control. This experience begins with descriptions of the tools employed to develop client and server-sides and the collaborative environment used to publish the labs in Internet. Attention is due to the concept of task protocol. It consists essentially of an ordered list of activities that students must execute in the virtual and remote mode of each one of the three web-based laboratories. To conclude, results of the pilot experience are given by means of evaluation questionnaires.Publicación Machine Learning Weather Soft-Sensor for Advanced Control ofWastewater Treatment Plants(MDPI, 2019) Hernández del Olmo, Félix; Gaudioso Vázquez, Elena; Duro Carralero, Natividad; Dormido Canto, RaquelControl of wastewater treatment plants (WWTPs) is challenging not only because of their high nonlinearity but also because of important external perturbations. One the most relevant of these perturbations is weather. In fact, different weather conditions imply different inflow rates and substance (e.g., N-ammonia, which is among the most important) concentrations. Therefore, weather has traditionally been an important signal that operators take into account to tune WWTP control systems. This signal cannot be directly measured with traditional physical sensors. Nevertheless, machine learning-based soft-sensors can be used to predict non-observable measures by means of available data. In this paper, we present novel research about a new soft-sensor that predicts the current weather signal. This weather prediction differs from traditional weather forecasting since this soft-sensor predicts the weather conditions as an operator does when controling the WWTP. This prediction uses a model based on past WWTP influent states measured by only a few physical and widely applied sensors. The results are encouraging, as we obtained a good accuracy level for a relevant and very useful signal when applied to advanced WWTP control systems.Publicación Análisis, desarrollo y publicación de laboratorios vrtuales y remotos para la enseñanza de la automática(EIWISA 2007, V Jornadas de enseñanza a través de internet/web de la inginiería de sistemas y automática, 2007-01-01) Dormido Bencomo, Sebastián; Canto Díez, María Antonia; Esquembre Martínez, Francisco; Sánchez Moreno, José; Dormido Canto, Sebastián; Dormido Canto, Raquel; Duro Carralero, Natividad; Farias, Gonzalo
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