Josep M. Guerrero
Also known as: J. M. Guerrero, Josep Guerrero Zapata, Josep M. Guerrero, Josep Maria Guerrero Zapata
Universidad de Valladolid, Zhejiang University, Huanjiang Laboratory
Research areas: Engineering · Electrical and Electronic Engineering · Microgrid Control and Optimization · Multilevel Inverters and Converters · Advanced DC-DC Converters
About
Josep M. Guerrero (S’01-M’04-SM’08-FM’15) received the B.Sc. degree in telecom engineering, M.Sc. degree in electronics engineering, and PhD degree from the Technical University of Catalonia, Barcelona, Spain.
From 2011 to 2025, he has been a Full Professor with AAU Energy, Aalborg University, Denmark, where he is responsible for the Microgrid Research Program. In 2019, he became a Villum Investigator by the Villum Fonden, which supports the Center for Research on Microgrids (CROM) at Aalborg University, being Prof. Guerrero the founder and Director of the same center (www.crom.energy.aau.dk). In 2020, he initiated neuroscience studies and research. As a result, in 2022 he received the M.Sc. degree in Psychobiology and Cognitive Neuroscience from the Institute of Neuroscience (INc) at the Autonomous University of Barcelona, and in 2023 he received the M.Sc. degree in Sleep: Physiology and Medicine at the University of Murcia, Spain. From 2023 to 2024 he was with the Technical University of Catalonia as an ICREA Research Professor. In 2023 he joined Huanjiang Laboratory, Zhejiang University, as a director of the CROM, Zhuji, Shaoxing, China. In 2025 he became a Distinguished Senior Researcher at the department of electrical engineering, University of Valladolid, Spain.
His research interests are oriented to different microgrid frameworks like energy microgrids, hydrogen and biomass, water micronets, biological systems, seaport microgrids and electrical ships, airport microgrids and more electrical aircraft, space microgrids and smart medical systems. In these fields, he has researched distributed and cyber-physical energy systems, cybersecurity for microgrids and smart grids, neuroscience-inspired artificial intelligence for energy systems, machine learning and applications using signal processing, bioinformatics, bio-inspired computing, and quantum computing and quantum communication for complex energy networks.
Prof. Guerrero is an Associate Editor for several IEEE TRANSACTIONS. He has published more than 1,000 journal papers in the fields of microgrids and renewable energy systems, which are cited more than 120,000 times. During nine consecutive years, from 2014 to 2023, he was awarded by Clarivate Analytics as Highly Cited Researcher. From 2020 to 2025 he was listed in the world’s top 2% scientist by Standford/Elsevier. In 2021, he received the IEEE Bimal Bose Award for Industrial Electronics Applications in Energy Systems, for his pioneering contributions to renewable energy based microgrids. In 2022, he received the IEEE PES Douglas M. Staszesky Distribution Automation Award, for contributions to making the hierarchical control of microgrid systems a practical reality. In 2023, he was the IEEE Modeling and Control Technical Achievement Award recipient for contributions to modelling and control of power electronics based microgrids. In 2024 he received the CSEE Journal of Power and Energy Systems Excellent Paper Award.
Employment
-
University of Valladolid Distinguished Senior Researcher2025 - Present
-
Zhejiang University Professor, Center Director2023 - Present
-
Huanjiang Laboratory Director2023 - Present
-
Institució Catalana de Recerca i Estudis Avançats Research Professor2023 - 2024
-
Universitat Politècnica de Catalunya Distinguished Researcher2023 - 2024
-
Aalborg Universitet Professor2011 - 2025
-
Technical University of Catalonia Associate Professor1999 - 2011
- ? - 2025
Education
Education history is unavailable.
Projects & Funding
Projects & funding information is unavailable.
Publications (2132)
- Justice-Flexibility-Oriented Modeling of Multi-Carrier Sustainable Microgrids Save
- Physics-Guided Residual Learning for Battery Modeling Across Held-Out Routes of a Single Electric Vehicle Using BMS Signals Save
- Hybrid models for predicting the state of health of lithium-ion batteries Save
- Optimal DG Placement and Feeder Reconfiguration for Enhanced Voltage Stability and Loss Minimization in Radial Distribution Networks Save
- An admittance-reshaping control method for improving the stability of multi-parallel grid-connected converters Save
- Diffusive modeling and Monte Carlo analysis of random-laser-base optical sensors for dual refractive index and temperature detection Save
- Hybrid Grid-Following and Grid-Forming Control for Cascaded PVES System in a Decentralized PLL-Less Framework Save
- Adaptive Robust Planner-Attacker-Operator Model Against Multistage Uncertain Malicious Attacks for Power Systems With Volatile Wind Power Save
- Optimization and performance analysis of regional interconnected integrated energy systems considering economic, operational, and energy efficiency objectives Save
- Economic autonomous operation of microgrids on islands with renewable energy interactions Save
- Hierarchical and Distributed Control of AC and DC Microgrid Clusters Interconnected by Flexible DC Distribution Network Save
- Abnormal Data Identification and Cleaning Techniques for Wind Turbine Systems Save
- Assessment of Potential Wind Sites for Power Integration in Ethiopia: A Case Study of Arerti, Sela Dingay, Debre Berhan, Mega, and Gode Save
- Full-State Feedback Cyber-Secure Control for Achieving Global Robustness in AC Microgrids Save
- Grid code requirements for the integration of renewable energy sources in Indonesia—a review Save
- Sparse-Promoting Generative Adversarial Learning for Microgrid Control With Structural Adaptive Optimization Against FDI Attacks Save
- Hierarchical Distributed Control with Projected Gradient Descent for Real-Time Congestion Mitigation in MVDC Distribution Systems Save
- Support Vector Regression Model Assisted Robust Frequency Control for Marine Microgrids Under Stochastic Conditions With Real-Time Validation Save
- Ultralocal Model-Free Pulse-Frequency-Modulation of a Bidirectional Resonant DC-DC Converter for V2G System Save
- A V2G Capacity-Maximized Dispatch Control Strategy via Nested Consensus Control Learning for Grid Frequency Regulation Save