Paulo Renato da Costa Mendes
Paulo Renato da Costa Mendes
Researcher at Fraunhofer ITWM
Verified email at itwm.fraunhofer.de - Homepage
Title
Cited by
Cited by
Year
Energy management of an experimental microgrid coupled to a V2G system
PRC Mendes, LV Isorna, C Bordons, JE Normey-Rico
Journal of Power Sources 327, 702-713, 2016
472016
Advanced chance-constrained predictive control for the efficient energy management of renewable power systems
JD Vergara-Dietrich, MM Morato, PRC Mendes, AA Cani, JE Normey-Rico, ...
Journal of Process Control, 2017
332017
Fault analysis, detection and estimation for a microgrid via H2/H∞ LPV observers
MM Morato, DJ Regner, PRC Mendes, JE Normey-Rico, C Bordons
International Journal of Electrical Power & Energy Systems 105, 823-845, 2019
282019
Optimal operation of hybrid power systems including renewable sources in the sugar cane industry
MM Morato, PR da Costa Mendes, JE Normey-Rico, C Bordons
IET Renewable Power Generation 11 (8), 1237-1245, 2017
282017
A practical approach for hybrid distributed MPC
PRC Mendes, JM Maestre, C Bordons, JE Normey-Rico
Journal of process Control 55, 30-41, 2017
232017
Future Hybrid Local Energy Generation Paradigm for the Brazilian Sugarcane Industry Scenario
MM Morato, PR da Costa Mendes, AA Cani, JE Normey-Rico, C Bordons
International Journal of Electrical Power & Energy Systems 101 (October 2018 …, 2018
222018
Economic energy management of a microgrid including electric vehicles
PR da Costa Mendes, JE Normey-Rico, CB Alba
2015 IEEE PES Innovative Smart Grid Technologies Latin America (ISGT LATAM …, 2015
182015
Lyapunov-based hybrid model predictive control for energy management of microgrids
A Olama, PRC Mendes, EF Camacho
IET Generation, Transmission & Distribution 12 (21), 5770-5780, 2018
152018
LPV-MPC fault-tolerant energy management strategy for renewable microgrids
MM Morato, PRC Mendes, JE Normey-Rico, C Bordons
International Journal of Electrical Power & Energy Systems 117, 105644, 2020
122020
The comparison study of short-term prediction methods to enhance the model predictive controller applied to microgrid energy management
C Hernández-Hernández, F Rodríguez, JC Moreno, PR da Costa Mendes, ...
Energies 10 (7), 884, 2017
102017
Advanced Control for Energy Management of Grid-Connected Hybrid Power Systems in the Sugar Cane Industry
MM Morato, PR da Costa Mendes, JE Normey-Rico, C Bordons
IFAC-PapersOnLine 50 (1), 31-36, 2017
92017
Disturbance estimator based nonlinear MPC of a three phase separator
PRC Mendes, JE Normey-Rico, A Plucenio, RL Carvalho
IFAC Proceedings Volumes 45 (15), 101-106, 2012
82012
Mixed Logical Dynamical Nonlinear Model Predictive Controller for Large‐Scale Solar Fields
JENR Tiago de Araújo Elias, Paulo Renato Costa Mendes
Asian Journal of Control, 2019
62019
Robustness conditions of LPV fault estimation systems for renewable microgrids
MM Morato, PRC Mendes, JE Normey-Rico, C Bordons
International Journal of Electrical Power & Energy Systems 111, 325-350, 2019
52019
A bilinear fsp-spc in a solar desalination plant collector field
PR da CostaMendes, JE Normey-Rico, V Joâo
2014 5th International Renewable Energy Congress (IREC), 1-6, 2014
52014
Hybrid predictive controller for overheating prevention of solar collectors
T de Araújo Elias, PR da Costa Mendes, JE Normey-Rico
Renewable Energy 136, 535-547, 2019
42019
Moving Horizon Estimation of Faults in Renewable Microgrids
BM Lima, MM Morato, PRC Mendes, JE Normey-Rico
12th IFAC Symposium on Dynamics and Control of Process Systems, including …, 2019
42019
Optimal Solar Collectors Defocusing Based on Maximum Temperature
T de Araújo Elias, PR da Costa Mendes, JE Normey-Rico, C Bordons
9th International Renewable Energy Congress, 2018
42018
Distributed energy management system for V2G networked microgrids
PRC Mendes, JE Normey-Rico, C Bordons
2017 IEEE PES Innovative Smart Grid Technologies Conference-Latin America …, 2017
42017
Economic management based on hybrid MPC for microgrids: A Brazilian Energy Market Solution
E Conte, PRC Mendes, JE Normey-Rico
Energies 13 (13), 3508, 2020
32020
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