José Domingo Álvarez Hervás

Associate Professor

Universidad de Almería

Spain

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José Domingo Álvarez Hervás is an Associate Professor at Universidad de Almería, Spain. His research interests encompass photovoltaic systems, solar energy forecasting, and the application of machine learning techniques in energy management. Recent publications highlight his work on fuzzy neural networks for digital twins, augmented reality in engineering maintenance, and reinforcement learning for solar thermal systems.

José Domingo Álvarez Hervás

Research Interests

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Articles (23)

Model design for photovoltaic facilities based on fuzzy neural network as core of its digital twin

Realidad aumentada aplicada al mantenimiento para las titulaciones de Ingeniería

Multimodal deep learning for solar radiation forecasting

Control mediante aprendizaje por refuerzo para un colector solar cilindro-parabólico

Correction: Topa Gavilema et al. Modeling and Energy Management of a Microgrid Based on Predictive Control Strategies. Solar 2023, 3, 62–73

Estimación del confort térmico mediante imágenes termográficas

Control del confort térmico mediante aprendizaje por refuerzo en edificios

Reinforcement learning for heliostat aiming: Improving the performance of Solar Tower plants

Learning-Based Practical Nonlinear Predictive Controller for Solar Thermal Collector Fields

A methodology for feasibility analyses of district heating networks: A case study applied to greenhouse crops

Artificial Neural Network-based digital twin for a flat plate solar collector field

A hybrid-MPC based energy management system with time series constraints for a bioclimatic building

Optical performance analysis of a hybrid parabolic trough collector with photovoltaic slats

Modeling and Energy Management of a Microgrid Based on Predictive Control Strategies

Balancing CO2 emissions and economic cost in a microgrid through an energy management system using MPC and multi-objective optimization

On the optimal demand-side management in microgrids through polygonal composition

A review from design to control of solar systems for supplying heat in industrial process applications

An open-source tool for path synthesis of four-bar mechanisms

Towards Optimal Management in Microgrids: An Overview

Optimal Management of a Microgrid with Radiation and Wind-Speed Forecasting: A Case Study Applied to a Bioclimatic Building

A general optimal operating strategy for commercial membrane distillation facilities

Optimal Model for Energy Management Strategy in Smart Building with Energy Storage Systems and Electric Vehicles

Very Short-Term Power Forecasting of High Concentrator Photovoltaic Power Facility by Implementing Artificial Neural Network

Collaborators (7)

Manuel Pérez-García

Antonio Gimenez

Jose Luis Guzman

Juan Diego Gil Vergel

María del Mar Castilla Nieto

Igor Pataro

Manuel Berenguel

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