Articles publicats Departament d'Enginyeria Elèctrica, Electrònica i Automàtica: Recent submissions
Now showing items 101-120 of 181
TA4L: Efficient temporal abstraction of multivariate time series
In this work, we introduce TA4L, a new efficient algorithm to transform multivariate time series into Lexicographical Symbolic Time Interval Sequences (LSTISs), that is, sequences ready to feed time-interval related pattern ...
Forecasting of emergency department attendances in a tourist region with an operational time horizon
Hospital patient waiting times and length of stay are indicators of the quality of emergency department (ED) services, factors that are a ected by the number of patient arrivals. It is necessary to ac- curately estimate ...
Application for fault location in electrical power distribution systems
Fault location has been studied deeply for transmission lines due to its importance in power systems. Nowadays the problem of fault location on distribution systems is receiving special attention mainly because of the power ...
Short-term load forecasting in a non-residential building contrasting models and attributes
The electric grid is evolving. Smart grids and demand response systems will increase the performance of the grid in terms of cost efficiency, resilience and safety. Accurate load forecasting is an important issue in the ...
Adaptive business intelligence for an open negotiation environment
Engineering of negotiation model allows to develop effective heuristic for business intelligence. Digital ecosystems demand open negotiation models. To define in advance effective heuristics is not compliant with the ...
Flexibility management of electric vehicles based on user profiles: The Arnhem case study
The ever-increasing global adoption of electric vehicles has created both challenges and opportunities for electrical grids and power systems as well as the market itself. Smart charging is broadly presented as a relevant ...
I-SS: integrated supervision systems approach based on interactive components
Process supervision is the activity focused on monitoring the process operation in order to deduce conditions to maintain the normality including when faults are present Depending on the number/distribution/heterogeneity ...
Bag-of-steps: Predicting Lower-limb Fracture Rehabilitation Length
Lower-limb fracture surgery is one of the major causes for autonomy loss among aged people. For care institutions, tackling with an optimized rehabilitation process is a key factor as it improves both the patients quality ...
Selecting Scientific Papers for Publication via Citation Auctions
The scientific community has been suffering from peer review for decades. This process (also called refereeing) subjects an author's scientific work or ideas to the scrutiny of one or more experts in the field. Publishers ...
Process diagnosis based on qualitative trend similarities using a sequence matching algorithm
This paper focuses on process diagnosis based on symptoms described by qualitative trends extracted from signals. Main contributions are a new similarity algorithm between qualitative sequences and a generalised approach ...
Decentralized model reference control of flexible cable-stayed beam structures
A decentralized model reference controller is designed to reduce the magnitude of the transversal vibration of a flexible cable-stayed beam structure induced by a seismic excitation. The controller design is made based on ...
Multi-vector energy management system including scheduling electrolyser, electric vehicle charging station and other assets in a real scenario
Today, in the field of energy, the main goal is to reduce emissions with the aim of maintaining a clean environment. To reduce energy consumption from fossil fuels, new tools for micro-grids have been proposed. In the ...
A CBR-based bolus recommender system for type 1 diabetes
Comunicació de congrés presentada a: Workshop on Artificial Intelligence for Diabetes (2nd: 2017: Viena, Àustria) i Conference on Artificial Intelligence in Medicine (AIME) (16th: 2017: Viena, Àustria)
A hybrid method for sag source location in power network
The work presented in this paper belongs to the power quality knowledge area and deals with the voltage sags in power transmission and distribution systems. Propagating throughout the power network, voltage sags can cause ...
Definition of Residential Power Load Profiles Clusters Using Machine Learning and Spatial Analysis
This study presents a novel approach for discovering actionable knowledge and exploring data-based models from data recorded by household smart meters. The proposed framework is supported by a machine learning architecture ...
Enabling the use of hereditary information from pedigree tools in medical knowledge-based systems
The use of family information is a key issue to deal with inheritance illnesses. This kind of information use to come in the form of pedigree files, which contain structured information as tree or graphs, which explains ...
Adaptive basal insulin recommender system based on Kalman filter for type 1 diabetes
Type 1 diabetes mellitus is a chronic disease that requires those affected to self-administer insulin to control their blood glucose level. However, the estimation of the correct insulin dosage is not easy due to the ...
PFA toolbox: a MATLAB tool for Metabolic Flux Analysis
Metabolic Flux Analysis (MFA) is a methodology that has been successfully applied to estimate metabolic fluxes in living cells. However, traditional frameworks based on this approach have some limitations, particularly ...
Personalized blood glucose prediction: A hybrid approach using grammatical evolution and physiological models
The large patient variability in human physiology and the effects of variables such as exercise or meals challenge current prediction modeling techniques. Physiological models are very precise but they are typically complex ...
Multivariate statistical monitoring of buildings. Case study: Energy monitoring of a social housing building
A complete methodology for energy building monitoring based on Principal Component Analysis (PCA) is proposed. The method extends the Unfolding or Multiway Principal Component Analysis (MPCA) used in statistical batch ...
