[HTML][HTML] A Hybrid Intelligent Modeling approach for predicting the solar thermal panel energy production
There is no doubt that the European Union is undergoing an ecological transition, with
renewable energies accounting for an increasing share of energy consumption in the …
renewable energies accounting for an increasing share of energy consumption in the …
Novel adaptive approach for anomaly detection in nonlinear and time-varying industrial systems
The present research describes a novel adaptive anomaly detection method to optimize the
performance of nonlinear and time-varying systems. The proposal integrates a centroid …
performance of nonlinear and time-varying systems. The proposal integrates a centroid …
Data-Driven Fault Detection in Reciprocating Compressors: A Method Based on PCA and GLRT
M Cabrera, D Cabrera, M Cerrada, RV Sánchez - IFAC-PapersOnLine, 2024 - Elsevier
This study introduces a novel failure detection algorithm using Principal Component
Analysis (PCA) and the Generalized Likelihood Ratio Test (GLRT) for reciprocating …
Analysis (PCA) and the Generalized Likelihood Ratio Test (GLRT) for reciprocating …
A HAIS approach to predict the energy produced by a solar panel
The current energy crisis coupled with concerns about climate change make renewable
energies a priority. Solar energy being one of the most representative in Spain, being able to …
energies a priority. Solar energy being one of the most representative in Spain, being able to …
Hybrid Classification Model Based on Supervised Techniques for Denial of Service Attacks Detection over CoAP Protocol
Abstract The Internet of Things (IoT) systems rapidly expand and offer a wide range of
services in diverse environments. However, due to the vast assortment of these systems …
services in diverse environments. However, due to the vast assortment of these systems …
3D virtual laboratory for control engineering using blended learning methodology
The combination of face-to-face experiences with online technology (Blended Learning)
represents an effective approach in today's educational context. The Blended Learning …
represents an effective approach in today's educational context. The Blended Learning …
Hybrid Intelligent Model for Classification of the Boost Converter Switching Operation
LA Fernandez-Serantes, JL Casteleiro-Roca… - … Conference on Hybrid …, 2022 - Springer
The application of a hybrid intelligent model is applied to a boost converter with the aim of
detecting the switching operating mode of the converter. Thus, the boost converter has been …
detecting the switching operating mode of the converter. Thus, the boost converter has been …
Small Wind Turbine Power Forecasting Using Long Short-Term Memory Networks for Energy Management Systems
The rising trend of energy prices during recent times, triggered by fuels shortage, wars and
the consequent economic crisis, has derived on the promotion of green policies. In this …
the consequent economic crisis, has derived on the promotion of green policies. In this …
An Anomaly Detection Approach for Realtime Identification Systems Based on Centroids
The present research describes a novel adaptive anomaly detection method to optimize the
performance of nonlinear and time-varying systems. The proposal is based on combining …
performance of nonlinear and time-varying systems. The proposal is based on combining …
Dimensional Reduction Applied to an Intelligent Model for Boost Converter Switching Operation
LA Fernandez-Serantes, JL Casteleiro-Roca… - … Workshop on Soft …, 2022 - Springer
The dimensional reduction algorithms are applied to a hybrid intelligent model that
distinguishes the switching operating mode of a boost converter. Thus, the boost converter …
distinguishes the switching operating mode of a boost converter. Thus, the boost converter …