Dr. EMILIO BAROCIO ESPEJO
emilio.barocio@academicos.udg.mx
Departamento de adscripción:
INGENIERIA MECANICA ELECTRICA
Nombramiento: PROFESOR E INVESTIGADOR TITULAR "C"
Categoría: DEFINITIVO
Resumen curricular:
Obtuvo el título Doctor en Ingeniería Eléctrica por Centro de Investigación y Estudios Avanzados (CINVESTAV) 2003. Fue investigador asociado en la Universidad de Wisconsin-Madison (2001) y investigador asociado en el verano en las universidades: Colegio Imperial de Londres (2009) y en la Universidad de Ciencias Aplicadas de Zurich (2017 y 2018). Actualmente es Profesor-Investigador en los posgrados de Ingeniería eléctrica, computo inteligente y ciencia de datos de la Universidad de Guadalajara. Es investigador nacional nivel 2 y profesor certificado por la secretaria de educación en PRODEP en México
Perfil de Investigador SNII:
Nivel SNII:
II
Área del conocimiento:
VIII. Ingenierías y Desarrollo Tecnológico, y
Campo de investigación:
Ingenieria
Periodo vigente:
1 de enero de 2023
-
31 de diciembre de 2027
Bases de datos bibliográficas:
Publicaciones del académico:
2024 - 3 articulos.
- A hybrid clustering approach for electrical load profiles considering weather conditions based on matrix-tensor decomposition
- Spatio-temporal Data-Driven and Machine Learning based Applications for Transmission Systems
- Digital Twin Adaptive Remedial Action Scheme for Preventing Voltage Collapse
2023 - 4 articulos.
- Events Classification in Power Systems with Distributed Generation Sources Using an LSTM-Based Method with Multi-Input Tensor Approach
- Robust Three-Stage Dynamic Mode Decomposition for Analysis of Power System Oscillations
- Power system coherency recognition and islanding: Practical limits and future perspectives
- Monitoring and Control of Electrical Power Systems Using Machine Learning Techniques
2022 - 6 articulos.
- Bio-inspired Optimization Strategy for Identify Coherent Nonlinear Generators Response
- Data compression for advanced monitoring infrastructure information in power systems based on tensor decomposition
- State-of-the-art of data collection, analytics, and future needs of transmission utilities worldwide to account for the continuous growth of sensing data
- A fast automatic detection and classification of voltage magnitude anomalies in distribution network systems using pmu data
- A spatio-temporal processing Padé approach for visualizing harmonic distortion propagation on electrical networks
- Application of spatio-temporal data-driven and machine learning algorithms for security assessment
2021 - 6 articulos.
- Power Systems
- A Geographic Information System Application to Estimate the Weather-Dependent Power System Losses
- Single value decomposition to estimate critical clearing time of a power system using measurements
- A Tensor Decomposition Approach for Contingency Screening and Coherency Identification in Power Systems
- Fast-training feedforward neural network for multi-scale power quality monitoring in power systems with distributed generation sources
- Wide-Area Monitoring of Large Power Systems Based on Simultaneous Processing of Spatio-Temporal Data
2020 - 3 articulos.
- Iot-based electricity bill for domestic applications
- Three-way unsupervised data mining for power system applications based on tensor decomposition
- A qualitative-quantitative hybrid approach for power quality disturbance monitoring on microgrid systems
2019 - 18 articulos.
- Parameter Estimation of a Grid-Connected VSC Using the Extended Harmonic Domain
- Studies in Computational Intelligence
- Preface
- Virtual instrumentation based learning methodology for teaching power system measurement and protection
- Editorial 2019
- Online coherency identification and stability condition for large interconnected power systems using an unsupervised data mining technique
- Diagnosis of interturn faults of single-distribution transformers under controlled conditions during energization
- Data analytic tool for clustering identification based on dimensionality reduction of frequency measurements
- Power flow modeling of islanded AC microgrids with hierarchical control
- Metaheuristics algorithms in power systems
- Non-conventional overcurrent relays coordination
- Clustering representative electricity load data using a particle swarm optimization algorithm
- A modified crow search algorithm with applications to power system problems
- Bio-inspired Optimization Algorithms for Solving the Optimal Power Flow Problem in Power Systems
- Optimal location of FCL
- Introduction to metaheuristics methods
- Metaheuristic schemes for parameter estimation in induction motors
- Overcurrent Relay Coordination, Robustness and Fast Solutions
2018 - 10 articulos.
- Fourier-series approach to model order reduction and controller interaction analysis of large-scale power system models
- Monitoring harmonic distortion in microgrids using dynamic mode decomposition
- Transient stability enhancement using awide-area controlled SVC: An Hil validation approach
- State-feedback control for damping inter-area oscillations on electrical power systems
- Analysis of Synchronverters and Droop Control Scheme During Microgrid Operation: A Performance Comparison Approach
- Parameter estimation of a grid-connected VSC using the extended harmonic domain
- Contingency ranking for dynamic security analysis using a trigonometric based index
- Transient stability enhancement using a wide-area controlled SVC: An HIL validation approach
- Synthesizing electrical signals with harmonic and inter-harmonic components through generalized Fourier series
- Identification of coherent areas using a power spectral density algorithm