Marcos Tostado-Véliz

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Professor (assistant)

Universidad de Jaén

Spain

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Marcos Tostado-Véliz is an Assistant Professor at Universidad de Jaén in Spain. His research focuses on energy management, optimization strategies for microgrid systems, and the integration of renewable energy sources. Recent articles highlight his work on adaptive control methods for isolated microgrids, optimizing performance in energy communities, and privacy-preserving scheduling techniques. He is dedicated to advancing the understanding of energy efficiency and sustainability in local energy systems.

Recent Grants

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Acción 4 - Ayudas predoctorales para la formación del personal investigador

Open Date: 2017-11-01

Close Date: 2021-11-01

Marcos Tostado-Véliz

Research Interests

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Recent Grants

Articles (30)

Adaptive multi-objective real-time hierarchical control for isolated microgrid clusters utilizing an enhanced particle swarm optimization strategy to optimize costs and emissions

Optimizing proton exchange membrane electrolyzer performance through dynamic pressure and temperature control: A mixed-integer linear programming approach

A Robust ADMM-Enabled Optimization Framework for Decentralized Coordination of Microgrids

Dealing with contradictory objectives in energy communities: A game-oriented trilevel approach

On the applicability of the alternating projections method for privacy-preserving scheduling in local energy communities

Privacy-preserving energy management in local energy communities with EVs – An enhanced benders-like solution strategy

Cornerstones for greater participation of smart renewable energy on clustered islands: The case of Guayas in Ecuador towards 2050

Risk-aware strategies for optimal participation of parking lots in day-ahead electricity markets

Robust rooftop photovoltaic planning in energy communities

Deep reinforcement learning-based plug-in electric vehicle charging/discharging scheduling in a home energy management system

Optimal sizing of hybrid PV–diesel–biomass gasification plants for electrification of off-grid communities: An efficient approach based on Benders’ decomposition

Environmental impact of the most representative Spanish olive oil farming systems: A life cycle assessment study

Wasserstein generative adversarial networks-based photovoltaic uncertainty in a smart home energy management system including battery storage devices

Multi-mode monitoring and energy management for photovoltaic-storage systems

Parameters estimation and sensitivity analysis of lithium-ion battery model uncertainty based on osprey optimization algorithm

Best-case-aware planning of photovoltaic-battery systems for multi-mode charging stations

Dynamic-fitness-distance-balance stochastic fractal search (dFDB-SFS algorithm): an effective metaheuristic for global optimization and accurate photovoltaic modeling

Optimal planning of collective photovoltaic arrays in energy communities through a multi-cut benders’ decomposition strategy

A data-driven methodology to design user-friendly tariffs in energy communities

Enhancing Virtual Inertia Control in Microgrids: A Novel Frequency Response Model Based on Storage Systems

Frontier ocean thermal/power and solar PV systems for transformation towards net-zero communities

Long-term planning for the integration of electric mobility with 100% renewable energy generation under various degrees of decentralization: Case study Cuenca, Ecuador

Optimal siting, sizing and setting of droop-controlled DERs in autonomous microgrids: A new paradigm in microgrid planning

A novel stochastic home energy management system considering negawatt trading

A four‐stage framework for optimal scheduling strategy of smart prosumers with vehicle‐to‐home capability under real time pricing based on interval optimization

An interval-based bi-level day-ahead scheduling strategy for active distribution networks in the presence of energy communities

A risk-averse two-stage stochastic model for optimal participation of hydrogen fuel stations in electricity markets

Enhanced transient search optimization algorithm-based optimal reactive power dispatch including electric vehicles

Industrial energy hubs with electric, thermal and hydrogen demands for resilience enhancement of mobile storage-integrated power systems

Renewable-Based Microgrids: Design, Control and Optimization

Collaborators (10)

David Vera

Tomonobu Senjyu

Umberto Desideri

Francisco Jurado

Andres Ramos

Alberto Borghetti

Poul Alberg Østergaard

Miguel Carrión

Raúl Sarrias

Luis M. Fernández-Ramírez

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