World's Best Scientists 2026 revealed!

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
36
Citations
5000
World Ranking
5374
National Ranking
12

Overview

Doris Saez is affiliated with the University of Chile in Chile and specializes in engineering, with a strong focus on electrical and electronic engineering as well as control and systems engineering. Their research spans multiple subfields including artificial intelligence, water science and technology, and automotive engineering.

The scientist's research primarily addresses core topics such as:

  • Microgrid Control and Optimization
  • Smart Grid Energy Management
  • Fuzzy Logic and Control Systems
  • Water-Energy-Food Nexus Studies
  • Islanding Detection in Power Systems
  • Hybrid Renewable Energy Systems
  • Optimal Power Flow Distribution

Doris Saez has authored numerous papers published in notable venues. Recent contributions include:

  • "Distributed Control Strategies for Microgrids: An Overview," 2020, IEEE Access
  • "Energy management system optimization in islanded microgrids: An overview and future trends," 2021, Renewable and Sustainable Energy Reviews
  • "A Consensus-Based Secondary Control Strategy for Hybrid AC/DC Microgrids With Experimental Validation," 2020, IEEE Transactions on Power Electronics
  • "Hierarchical energy management system for multi-microgrid coordination with demand-side management," 2023, Applied Energy
  • "Distributed Predictive Secondary Control for Imbalance Sharing in AC Microgrids," 2021, IEEE Transactions on Smart Grid

Frequent collaborators in their research include Oscar Cartagena, Enrique Espina, Claudio Burgos-Mellado, Roberto Cárdenas, and Alex Navas-Fonseca.

The scientist has published extensively in several key venues, with multiple works appearing in:

  • IEEE Access
  • IEEE Transactions on Smart Grid
  • Expert Systems with Applications
  • Applied Sciences
  • 2022 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)

Overall, Doris Saez's academic contributions center on the optimization and control of microgrids and smart grid energy systems, integrating aspects of fuzzy logic and system control to address complex engineering challenges. Their multidisciplinary approach incorporates elements from water-energy-food nexus studies and hybrid renewable energy systems, reflecting a comprehensive scope within modern energy systems research.

Best Publications

  • A Microgrid Energy Management System Based on the Rolling Horizon Strategy

    R. Palma-Behnke;C. Benavides;F. Lanas;B. Severino

  • Distributed Control Strategies for Microgrids: An Overview

    Enrique Espina;Jacqueline Llanos;Claudio Burgos-Mellado;Roberto Cardenas-Dobson

  • Secondary Control Strategies for Frequency Restoration in Islanded Microgrids With Consideration of Communication Delays

    Constanza Ahumada;Roberto Cardenas;Doris Saez;Josep M. Guerrero

  • Finite-Set Model-Predictive Control Strategies for a 3L-NPC Inverter Operating With Fixed Switching Frequency

    Felipe Donoso;Andres Mora;Roberto Cardenas;Alejandro Angulo

  • Fuzzy Prediction Interval Models for Forecasting Renewable Resources and Loads in Microgrids

    Doris Sáez;Fernanda Avila;Daniel E. Olivares;Claudio A. Cañizares

  • Robust Energy Management System for a Microgrid Based on a Fuzzy Prediction Interval Model

    Felipe Valencia;Jorge Collado;Doris Saez;Luis G. Marin

  • Hybrid predictive control for real-time optimization of public transport systems' operations based on evolutionary multi-objective optimization

    Cristian E. Cortes;Doris Saez;Freddy Milla;Alfreda Nunez

  • Energy management system optimization in islanded microgrids: An overview and future trends

    José Maurilio Raya-Armenta;Najmeh Bazmohammadi;Juan Gabriel Avina-Cervantes;Doris Saez

  • Energy management system for a renewable based microgrid with a demand side management mechanism

    R. Palma-Behnke;C. Benavides;E. Aranda;J. Llanos

  • Particle-filtering-based estimation of maximum available power state in Lithium-Ion batteries

    Claudio Burgos-Mellado;Marcos E. Orchard;Mehrdad Kazerani;Roberto Cárdenas

  • Hybrid predictive control strategy for a public transport system with uncertain demand

    Doris Sáez;Cristián E. Cortés;Freddy Milla;Alfredo Núñez

  • Fuzzy modelling for the state-of-charge estimation of lead-acid batteries

    Claudio Burgos;Doris Sáez;Marcos E. Orchard;Roberto Cárdenas

  • Identification of Critical Spans for Monitoring Systems in Dynamic Thermal Rating

    M. Matus;D. Saez;M. Favley;C. Suazo-Martinez

  • Hybrid fuzzy predictive control based on genetic algorithms for the temperature control of a batch reactor

    Javier Causa;Gorazd Karer;Alfredo Núñez;Doris Sáez

  • Fuzzy predictive control of a solar power plant

    A. Flores;D. Saez;J. Araya;M. Berenguel

  • Hierarchical energy management system for multi-microgrid coordination with demand-side management

    Unknown

  • A Consensus-Based Secondary Control Strategy for Hybrid AC/DC Microgrids With Experimental Validation

    Enrique Espina;Roberto Cardenas-Dobson;John W. Simpson-Porco;Doris Saez

  • Load profile generator and load forecasting for a renewable based microgrid using Self Organizing Maps and neural networks

    J. Llanos;D. Saez;R. Palma-Behnke;A. Nunez

  • Prediction interval methodology based on fuzzy numbers and its extension to fuzzy systems and neural networks

    Luis Gabriel Marín;Nicolás Cruz;Doris Sáez;Mark Sumner

  • Distributed Predictive Control for Frequency and Voltage Regulation in Microgrids

    Juan S. Gomez;Doris Saez;John W. Simpson-Porco;Roberto Cardenas

  • Hybrid Adaptive Predictive Control for a Dynamic Pickup and Delivery Problem

    Cristián E. Cortés;Doris Sáez;Alfredo Núòez;Diego Muòoz-Carpintero

  • Distributed Control Strategy Based on a Consensus Algorithm and on the Conservative Power Theory for Imbalance and Harmonic Sharing in 4-Wire Microgrids

    Claudio Burgos-Mellado;Jacqueline J. Llanos;Roberto Cardenas;Doris Saez

  • A Novel Distributed Control Strategy for Optimal Dispatch of Isolated Microgrids Considering Congestion

    Jacqueline Llanos;Daniel E. Olivares;John W. Simpson-Porco;Mehrdad Kazerani

  • Fuzzy control systems design and analysis, A Linear Matrix Inequality Approach, by K. Tanaka and H. Wang, Wiley Interscience, New York, ISBN 0‐471‐32324‐1

    D. Saez

Frequent Co-Authors

Roberto Cardenas
Roberto Cardenas University of Chile
Mark Sumner
Mark Sumner University of Nottingham
Igor Škrjanc
Igor Škrjanc University of Ljubljana
Mehrdad Kazerani
Mehrdad Kazerani University of Waterloo
Manuel Berenguel
Manuel Berenguel University of Almería
Claudio A. Canizares
Claudio A. Canizares University of Waterloo
Juan C. Vasquez
Juan C. Vasquez Aalborg University
Michael J. Grimble
Michael J. Grimble University of Strathclyde
Marco Rivera
Marco Rivera University of Nottingham
Pericle Zanchetta
Pericle Zanchetta University of Nottingham

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