14 documents found, page 1 of 2
Join security and block watermarking-based evolutionary algorithm and Racah mom...
Chekira, Chaimae; Marzouq, Manal; Fadili, Hakim El; Lakhliai, Zakia; Ruano, MariaEnsuring the security of medical images containing confidential patient health information has become crucial. This paper presents a multipurpose medical image system based on a join of security and watermarking to achieve high data protection. We propose a block-splitting technique applied to large-scale cover medical images and hidden watermarks. In each subspace, we calculate Racah moments and apply a new ev...
A Multi-Step ensemble approach for energy community Day-Ahead Net Load point an...
Ruano, Maria; Ruano, AntonioThe incorporation of renewable energy systems in the world energy system has been steadily increasing during the last few years. In terms of the building sector, the usual consumers are becoming increasingly prosumers, and the trend is that communities of energy, whose households share produced electricity, will increase in number in the future. Another observed tendency is that the aggregator (the entity that ...
Unsupervised eeg preictal interval identification in patients with drug-resista...
Leal, Adriana; Curty, Juliana; Lopes, Fábio; Pinto, Mauro F.; Oliveira, Ana; Sales, Francisco; Bianchi, Anna M.; Ruano, Maria; Dourado, AntónioTypical seizure prediction models aim at discriminating interictal brain activity from pre-seizure electrographic patterns. Given the lack of a preictal clinical definition, a fixed interval is widely used to develop these models. Recent studies reporting preictal interval selection among a range of fixed intervals show inter- and intra-patient preictal interval variability, possibly reflecting the heterogeneit...
Designing robust forecasting ensembles of Data-Driven Models with a Multi-Objec...
Ruano, Antonio; Ruano, MariaThis work proposes a procedure for the multi-objective design of a robust forecasting ensemble of data-driven models. Starting with a data-selection algorithm, a multi-objective genetic algorithm is then executed, performing topology and feature selection, as well as parameter estimation. From the set of non-dominated or preferential models, a smaller sub-set is chosen to form the ensemble. Prediction intervals...
MILP-based model predictive control for home energy management systems: A real ...
Gomes, I.L.R.; Ruano, Maria; Ruano, AntonioThis paper addresses the development of an innovative home energy management system (HEMS). The presented HEMS relies on a mixed-integer linear programming (MILP)-based model predictive control. The system takes advantage of the powerful formulation capabilities of a MILP-based mathematical pro-gramming problem with the capabilities of model predictive control to optimize, at each sample instant the HEMS operat...
Recent techniques used in home energy management systems: a review
Gomes, Isaías; Bot, Karol; Ruano, Maria; Ruano, AntonioPower systems are going through a transition period. Consumers want more active participation in electric system management, namely assuming the role of producers–consumers, prosumers in short. The prosumers’ energy production is heavily based on renewable energy sources, which, besides recognized environmental benefits, entails energy management challenges. For instance, energy consumption of appliances in a h...
Energy disaggregation using multi-objective genetic algorithm designed neural n...
Habou Laouali, Inoussa; Gomes, Isaías; Ruano, Maria; Bennani, Saad Dosse; Fadili, Hakim El; Ruano, AntonioEnergy-saving schemes are nowadays a major worldwide concern. As the building sector is a major energy consumer, and hence greenhouse gas emitter, research in home energy management systems (HEMS) has increased substantially during the last years. One of the primary purposes of HEMS is monitoring electric consumption and disaggregating this consumption across different electric appliances. Non-intrusive load mo...
Home energy management systems with branch-and-bound model-based predictive con...
Bot, Karol; Habou Laouali, Inoussa; Ruano, Antonio; Ruano, MariaAt a global level, buildings constitute one of the most significant energy-consuming sectors. Current energy policies in the EU and the U.S. emphasize that buildings, particularly those in the residential sector, should employ renewable energy and storage and efficiently control the total energy system. In this work, we propose a Home Energy Management System (HEMS) by employing a Model-Based Predictive Control...
Short-term forecasting photovoltaic solar power for home energy management systems
Bot, Karol; Ruano, Antonio; Ruano, MariaAccurate photovoltaic (PV) power forecasting is crucial to achieving massive PV integration in several areas, which is needed to successfully reduce or eliminate carbon dioxide from energy sources. This paper deals with short-term multi-step PV power forecasts used in model-based predictive control for home energy management systems. By employing radial basis function (RBFs) artificial neural networks (ANN), de...
Heart rate variability analysis for the identification of the preictal interval...
Leal, Adriana; Pinto, Mauro F.; Lopes, Fábio; Bianchi, Anna M.; Henriques, Jorge; Ruano, Maria; de Carvalho, Paulo; Dourado, António; Teixeira, César A.Electrocardiogram (ECG) recordings, lasting hours before epileptic seizures, have been studied in the search for evidence of the existence of a preictal interval that follows a normal ECG trace and precedes the seizure's clinical manifestation. The preictal interval has not yet been clinically parametrized. Furthermore, the duration of this interval varies for seizures both among patients and from the same pati...