FIU Discovery

Dynamic Real-Time Pricing Mechanism for Electric Vehicles Charging Considering Optimal Microgrids Energy Management System.  IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS.  57:5372-5381.

Real-Time metadata-driven routing optimization for electric vehicle energy consumption minimization using deep reinforcement learning and Markov chain model.  ELECTRIC POWER SYSTEMS RESEARCH.  192.

Hybrid Microgrid Energy Management and Control Based on Metaheuristic-Driven Vector-Decoupled Algorithm Considering Intermittent Renewable Sources and Electric Vehicles Charging Lot

An Optimal Energy Management System for Real-Time Operation of Multiagent-Based Microgrids Using a T-Cell Algorithm

Single and Multiobjective Optimal Reactive Power Dispatch Based on Hybrid Artificial Physics-Particle Swarm Optimization

Smart Integration of a DC Microgrid: Enhancing the Power Quality Management of the Neighborhood Low-Voltage Distribution Network

Pre-Processing of Energy Demand Disaggregation Based Data Mining Techniques for Household Load Demand Forecasting

Dynamic Real-Time Pricing Structure for Electric Vehicle Charging Considering Stochastic Microgrids Energy Management System

Energy Disaggregation Based Deep Learning Techniques: A pre-processing Stage to Enhance The Household Load Forecasting

Household Load Forecasting based on a pre-processing Non-Intrusive Load Monitoring Techniques.  107-114.

Medium Voltage DC Testbed: A Hardware Based Tool to Integrate DC Microgrids/Nanogrids to the Utility Infrastructure

Vector Decoupling Control Design based on Genetic Algorithm for a Residential Microgrid System for Future City Houses at Islanding Operation

Power Quality Improvements for Integration of Hybrid AC/DC Nanogrids to Power Systems.  171-176.

Design and Implementation of AC/DC Active Power Load Emulator.  IEEE SOUTHEASTCON 2011: BUILDING GLOBAL ENGINEERS.

Implementation of a PV Emulator Using Programmable DC Power Supply

Fault Detection and Compensation For a PV System Grid Tie Inverter