Navegação por autor "Sánchez Esguevillas, Antonio Javier"

A multi-agent system architecture for smart grid management and forecasting of energy demand in virtual power plants

Hernández Callejo, Luis

; Baladrón García, Carlos

; Aguiar Pérez, Javier Manuel

; Carro Martínez, Belén

; Sánchez Esguevillas, Antonio Javier

; Lloret, Jaime; Chinarro, David; Gómez Sanz, Jorge; Cook, Diane J. (2013)

A semantic autonomous video surveillance system for dense camera networks in smart cities

Calavia, Lorena; Baladrón García, Carlos

; Aguiar Pérez, Javier Manuel

; Carro Martínez, Belén

; Sánchez Esguevillas, Antonio Javier

(2012)

A study of the relationship between weather variables and electric power demand inside a smart grid/smart world framework

Hernández Callejo, Luis

; Baladrón García, Carlos

; Aguiar Pérez, Javier Manuel

; Calavia, Lorena; Carro Martínez, Belén

; Sánchez Esguevillas, Antonio Javier

; Cook, Diane J.; Chinarro, David; Gómez Sanz, Jorge (2012)

Additive ensemble neural network with constrained weighted quantile loss for probabilistic electric-load forecasting

López Martín, Manuel

; Sánchez Esguevillas, Antonio Javier

; Hernández Callejo, Luis

; Arribas Sánchez, Juan Ignacio

; Carro Martínez, Belén

(2021)

An intelligent surveillance platform for large metropolitan areas with dense sensor deployment

Fernández, Jorge; Calavia, Lorena; Baladrón García, Carlos

; Aguiar Pérez, Javier Manuel

; Carro Martínez, Belén

; Sánchez Esguevillas, Antonio Javier

; Alonso López, Jesús; Smilansky, Zeev (2013)

Aplicación de técnicas no lineales y otros paradigmas en Smart Grid/Virtual Power Plant

Hernández Callejo, Luis

(2013)

Application of advanced machine learning techniques to early network traffic classification

Egea Gómez, Santiago (2020)

Application of deep reinforcement learning to intrusion detection for supervised problems

López Martín, Manuel

; Carro Martínez, Belén

; Sánchez Esguevillas, Antonio Javier

(2020)

Artificial neural network for short-term load forecasting in distribution systems

Hernández Callejo, Luis

; Baladrón García, Carlos

; Aguiar Pérez, Javier Manuel

; Calavia, Lorena; Carro Martínez, Belén

; Sánchez Esguevillas, Antonio Javier

; Pérez, Francisco; Fernández, Ángel; Lloret, Jaime (2014)

Artificial neural networks for short-term load forecasting in microgrids environment

Hernández Callejo, Luis

; Baladrón García, Carlos

; Aguiar Pérez, Javier Manuel

; Carro Martínez, Belén

; Sánchez Esguevillas, Antonio Javier

; Lloret, Jaime (2014)

Caracterización semántica de espacios: Sistema de Videovigilancia Inteligente en Smart Cities

Calavia Domínguez, Lorena (2013)

Classification and clustering of electricity demand patterns in industrial parks

Hernández Callejo, Luis

; Baladrón García, Carlos

; Aguiar Pérez, Javier Manuel

; Carro Martínez, Belén

; Sánchez Esguevillas, Antonio Javier

(2012)

Conditional variational autoencoder for prediction and feature recovery applied to intrusion detection in loT

López Martín, Manuel

; Carro Martínez, Belén

; Sánchez Esguevillas, Antonio Javier

; Lloret, Jaime (2017)

Detection, conceptualization and communication of emerging phenomena in technological environments

Carbonell Pérez, Javier (2017)

Ensemble network traffic classification: Algorithm comparison and novel ensemble scheme proposal

Egea Gómez, Santiago; Carro Martínez, Belén

; Sánchez Esguevillas, Antonio Javier

; Hernández Callejo, Luis

(2017)

Experimental analysis of the input variables’ relevance to forecast next day’s aggregated electric demand using neural networks

Hernández Callejo, Luis

; Baladrón García, Carlos

; Aguiar Pérez, Javier Manuel

; Calavia, Lorena; Carro Martínez, Belén

; Sánchez Esguevillas, Antonio Javier

; García, Pablo; Lloret, Jaime (2013)

Exploratory study on class imbalance and solutions for network traffic classification

Egea Gómez, Santiago; Hernández Callejo, Luis

; Carro Martínez, Belén

; Sánchez Esguevillas, Antonio Javier

(2019)

Graph Neural Network contextual embedding for Deep Learning on tabular data

Villaizán Vallelado, Mario

; Salvatori, Matteo; Carro Martínez, Belén

; Sánchez Esguevillas, Antonio Javier

(2024)

Improved short-term load forecasting based on two-stage predictions with artificial neural networks in a microgrid environment

Hernández Callejo, Luis

; Baladrón García, Carlos

; Aguiar Pérez, Javier Manuel

; Calavia, Lorena; Carro Martínez, Belén

; Sánchez Esguevillas, Antonio Javier

; Sanjuán, Javier; González, Álvaro; Lloret, Jaime (2013)

IoT type-of-traffic forecasting method based on gradient boosting neural networks

López Martín, Manuel

; Carro Martínez, Belén

; Sánchez Esguevillas, Antonio Javier

(2020)

Navegação por autor "Sánchez Esguevillas, Antonio Javier" Google Citations

A multi-agent system architecture for smart grid management and forecasting of energy demand in virtual power plants ﻿

A semantic autonomous video surveillance system for dense camera networks in smart cities ﻿

A study of the relationship between weather variables and electric power demand inside a smart grid/smart world framework ﻿

Additive ensemble neural network with constrained weighted quantile loss for probabilistic electric-load forecasting ﻿

An intelligent surveillance platform for large metropolitan areas with dense sensor deployment ﻿

Aplicación de técnicas no lineales y otros paradigmas en Smart Grid/Virtual Power Plant ﻿

Application of advanced machine learning techniques to early network traffic classification ﻿

Application of deep reinforcement learning to intrusion detection for supervised problems ﻿

Artificial neural network for short-term load forecasting in distribution systems ﻿

Artificial neural networks for short-term load forecasting in microgrids environment ﻿

Caracterización semántica de espacios: Sistema de Videovigilancia Inteligente en Smart Cities ﻿

Classification and clustering of electricity demand patterns in industrial parks ﻿

Conditional variational autoencoder for prediction and feature recovery applied to intrusion detection in loT ﻿

Detection, conceptualization and communication of emerging phenomena in technological environments ﻿

Ensemble network traffic classification: Algorithm comparison and novel ensemble scheme proposal ﻿

Experimental analysis of the input variables’ relevance to forecast next day’s aggregated electric demand using neural networks ﻿

Exploratory study on class imbalance and solutions for network traffic classification ﻿

Graph Neural Network contextual embedding for Deep Learning on tabular data ﻿

Improved short-term load forecasting based on two-stage predictions with artificial neural networks in a microgrid environment ﻿

IoT type-of-traffic forecasting method based on gradient boosting neural networks ﻿

A multi-agent system architecture for smart grid management and forecasting of energy demand in virtual power plants

A semantic autonomous video surveillance system for dense camera networks in smart cities

A study of the relationship between weather variables and electric power demand inside a smart grid/smart world framework

Additive ensemble neural network with constrained weighted quantile loss for probabilistic electric-load forecasting

An intelligent surveillance platform for large metropolitan areas with dense sensor deployment

Aplicación de técnicas no lineales y otros paradigmas en Smart Grid/Virtual Power Plant

Application of advanced machine learning techniques to early network traffic classification

Application of deep reinforcement learning to intrusion detection for supervised problems

Artificial neural network for short-term load forecasting in distribution systems

Artificial neural networks for short-term load forecasting in microgrids environment

Caracterización semántica de espacios: Sistema de Videovigilancia Inteligente en Smart Cities

Classification and clustering of electricity demand patterns in industrial parks

Conditional variational autoencoder for prediction and feature recovery applied to intrusion detection in loT

Detection, conceptualization and communication of emerging phenomena in technological environments

Ensemble network traffic classification: Algorithm comparison and novel ensemble scheme proposal

Experimental analysis of the input variables’ relevance to forecast next day’s aggregated electric demand using neural networks

Exploratory study on class imbalance and solutions for network traffic classification

Graph Neural Network contextual embedding for Deep Learning on tabular data

Improved short-term load forecasting based on two-stage predictions with artificial neural networks in a microgrid environment

IoT type-of-traffic forecasting method based on gradient boosting neural networks