Xavier Blasco

Full Professor

Universitat Politècnica de València

Spain

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About

Xavier Blasco is a Full Professor at Universitat Politècnica de València, Spain. His research interests encompass energy management systems, particularly focusing on predictive control techniques for microgrid systems and PEMFC-based micro-CHP systems. Recent publications reflect his expertise in robust control design, optimization strategies, and methodologies for smart grid applications.

Articles (19)

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2025

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2020

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Xavier Blasco

Research Interests

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About

Articles (19)

A novel energy management system based on move-blocking based predictive control for use in microgrid control

Optimal Operating Patterns for the Energy Management of PEMFC-Based Micro-CHP Systems in European Single-Family Houses

Diseño del control robusto de temperatura de una pila PEMFC mediante optimizaci ˜ on´ multiobjetivo

A novel energy management system based on two-level hierarchical economic model predictive control for use in microgrid control

Strategy for obtaining robust solutions in multi-objective design with uncertainties

Designing Decentralized Multi-Variable Robust Controllers: A Multi-Objective Approach Considering Nearly Optimal Solutions

Rule-based energy management strategies for PEMFC-based micro-CHP systems: A comparative analysis

Utopian robust efficiency indicator for robust PID multi-objective tunning

Advantages of using relevant nearly optimal solutions in multi-objective tuning of robust controllers

Parameter uncertainty modeling for multiobjective robust control design. Application to a temperature control system in a proton exchange membrane fuel cell

Parameter uncertainty modeling for multiobjective robust control design. Application to a temperature control system in a proton exchange membrane fuel cell

Methodology for energy management strategies design based on predictive control techniques for smart grids

A Comparison of Archiving Strategies for Characterization of Nearly Optimal Solutions under Multi-Objective Optimization

A Comparison of Archiving Strategies for Characterization of Nearly Optimal Solutions under Multi-Objective Optimization

A Simple Proposal for Including Designer Preferences in Multi-Objective Optimization Problems

Multivariable Controller Design for the Cooling System of a PEM Fuel Cell by considering Nearly Optimal Solutions in a Multiobjective Optimization Approach

A Loop Pairing Method for Non-Linear Multivariable Control Systems Under a Multi-Objective Optimization Approach

Analyzing the Nearly Optimal Solutions in a Multi-Objective Optimization Approach for the Multivariable Nonlinear Identification of a PEM Fuel Cell Cooling System

Design and Experimental Validation of the Temperature Control of a PEMFC Stack by Applying Multiobjective Optimization

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