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Listar por autor "Hernández, Luis"

Mostrando ítems 1-7 de 7

A Multi-Agent System Architecture for Smart Grid Management and Forecasting of Energy Demand in Virtual Power Plants

Hernández, Luis; Baladrón Zorita, Carlos; Aguiar Pérez, Javier Manuel; Carro, Belén; Sanchez-Esguevillas, Antonio; Lloret, Jaime; Chinarro, David; Gómez Sanz, Jorge; Cook, Diane (Institute of Electrical and Electronics Engineers (IEEE), 2013-01)

[EN] Recent technological advances in the power generation and information technologies areas are helping to change the modern electricity supply system in order to comply with higher energy efficiency and sustainability ...
Control Desacoplado de Plataforma Neumática de 3-GDL utilizada como Simulador de Movimiento

Izaguirre, Eduardo; Hernández, Luis; Rubio, Ernesto; Prieto, Pablo J.; Hernández, Arian (Elsevier, 2011-10-05)

[ES] En el presente artículo se realiza el análisis cinemático y esquema de control articular desacoplado para un robot paralelo de tres grados de libertad, accionado por actuadores neumáticos, que se emplea como simulador ...
Diseño de AUV.Arquitectura de hardware y software

Martínez, Alain; Rodriguez, Yidier; Hernández, Luis; Guerra, Carlos; Lemus, Jorge; Sahli, Hichem (Universitat Politècnica de València, 2013-07-09)

[ES] El presente documento discute la estrategia bajo la que fueron concebidas la arquitectura de hardware y software para el prototipo de vehículo autónomo: HRC-AUV, así como la selección de los elementos fundamentales ...
Experimental Analysis of the Input Variables' Relevance to Forecast Next Day's Aggregated Electric Demand Using Neural Networks

Hernández, Luis; Baladrón Zorita, Carlos; Aguiar Pérez, Javier Manuel; Calavia Domínguez, Lorena; Carro Martínez, Belén; Sanchez-Esguevillas, Antonio; Garcia Fernandez, Pablo; Lloret, Jaime (MDPI, 2013-06)

Thanks to the built in intelligence (deployment of new intelligent devices and sensors in places where historically they were not present), the Smart Grid and Microgrid paradigms are able to take advantage from aggregated ...
Improved Short-Term Load Forecasting Based on Two-Stage Predictions with Artificial Neural Networks in a Microgrid Environment

Hernández, Luis; Baladrón Zorita, Carlos; Aguiar Pérez, Javier Manuel; Calavia Domínguez, Lorena; Carro Martínez, Belén; Sanchez-Esguevillas, Antonio; Sanjuan, Javier; Gonzalez, Alvaro; Lloret, Jaime (MDPI, 2013-09)

Short-Term Load Forecasting plays a significant role in energy generation planning, and is specially gaining momentum in the emerging Smart Grids environment, which usually presents highly disaggregated scenarios where ...
LA PERCEPCIÓN DEL ESPACIO EN LA VISUALIZACIÓN DE ARQUITECTURA MEDIANTE REALIDAD VIRTUAL INMERSIVA

Hernández, Luis; Taibo, Javier; Seoane, Antonio; Jaspe, Alberto (Editorial Universitat Politècnica de València, 2011)

[EN] Immersive virtual reality constitutes a powerful tool for the vivid exploration of virtual spaces. The feeling of presence produced in the user by the action of seeing the digital space just pointing the view in any ...
Short-Term Load Forecasting for Microgrids Based on Artificial Neural Networks

Hernández, Luis; Baladrón Zorita, Carlos; Aguiar Pérez, Javier Manuel; Carro Martínez, Belén; Sanchez-Esguevillas, Antonio; Lloret, Jaime (MDPI, 2013-03)

Electricity is indispensable and of strategic importance to national economies. Consequently, electric utilities make an effort to balance power generation and demand in order to offer a good service at a competitive price. ...