Neuro-fuzzy based energy management of PV-FC based grid-connected microgrid for e-mobility
Author:
Affiliation:
1. Politecnico di Milano,Department of Energy,Milan,Italy
2. University of Palermo,Department of Engineering,Palermo,Italy,90128
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9854509/9854408/09854546.pdf?arnumber=9854546
Reference22 articles.
1. Optimal control and implementation of energy management strategy for a DC microgrid
2. An analysis of energy storage system interaction in a multi objective model predictive control based energy management in DC microgrid
3. Fuzzy-barrier sliding mode control of electric-hydrogen hybrid energy storage system in DC microgrid: Modelling, management and experimental investigation
4. Fuzzy supertwisting sliding mode-based energy management and control of hybrid energy storage system in electric vehicle considering fuel economy
5. A Neural Network Based Prediction System of Distributed Generation for the Management of Microgrids
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1. A Grey Wolf-Driven Refinement of Fuzzy-Based Controller for Enhanced DC Microgrid Operation;2024 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE);2024-06-30
2. Implementation of Nonlinear Controller to Improve DC Microgrid Stability: A Comparative Analysis of Sliding Mode Control Variants;Electronics;2023-11-04
3. Solar and Grid Power Integration for Dynamic Energy Management in Electric Vehicle Charging and Load Fulfilment with Fuzzy Logic;2023 AEIT International Conference on Electrical and Electronic Technologies for Automotive (AEIT AUTOMOTIVE);2023-07-17
4. A Cost-Effective Fuzzy-based Demand-Response Energy Management for Batteries and Photovoltaics;2023 11th International Conference on Smart Grid (icSmartGrid);2023-06-04
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