Pinned Repositories
Distributed_EV_Charge_Scheduling
Distributed EV Charge Scheduling Algorithms
Dynamic-Optimizing-Strategy-of-EV-Charging-Using-PSO
UCLA, Smart charging, minimize load variance, Particle Swarm Optimization
EVCS-Distribution
Mathematical models for various countries that could help them map out the final network of the EVCSs (electric vehicle charging stations) and the evolution of the network of EVCSs
EVCSPP
This is a paper implementation of IEEE TRANSACTIONS ON SMART GRID, VOL. 5, NO. 6, NOVEMBER 2014 on Electric Vehicle Charging Station Placement: Formulation, Complexity, and Solutions published by Albert Y.S. Lam, Member, IEEE, Yiu-Wing Leung, Senior Member, IEEE, and Xiaowen Chu, Senior Member, IEEE.
EVNUM
Matlab experiments of the Electric Vehicle charging Network Utility Maximization
ML-based-Heuristic-learning-charging-time-scheduling-of-EV-vehicles-to-minimize-the-energy-peaks
The python code generated random demands of random EV vehicles and household electricity demands. It then plots the graphs between earlier energy peaks and reductions in peaks after the implementation of the algorithm. The main concern of the project is to minimize the peaks(high electricity demands) in electricity demands by scheduling the EV charging by using Heuristic learning approach and minimizing the cost of charging. Priorities are also considered along with other factors.
PowerGrid
Data processing for Power Pricing.
Reinforcement-Learning-for-Real-time-Pricing-and-Scheduling-Control-in-EV-Charging-Stations
Reinforcement Learning for Real time Pricing and Scheduling Control in EV Charging Stations
fengfengis's Repositories
fengfengis/Distributed_EV_Charge_Scheduling
Distributed EV Charge Scheduling Algorithms
fengfengis/Dynamic-Optimizing-Strategy-of-EV-Charging-Using-PSO
UCLA, Smart charging, minimize load variance, Particle Swarm Optimization
fengfengis/EVCS-Distribution
Mathematical models for various countries that could help them map out the final network of the EVCSs (electric vehicle charging stations) and the evolution of the network of EVCSs
fengfengis/EVCSPP
This is a paper implementation of IEEE TRANSACTIONS ON SMART GRID, VOL. 5, NO. 6, NOVEMBER 2014 on Electric Vehicle Charging Station Placement: Formulation, Complexity, and Solutions published by Albert Y.S. Lam, Member, IEEE, Yiu-Wing Leung, Senior Member, IEEE, and Xiaowen Chu, Senior Member, IEEE.
fengfengis/EVNUM
Matlab experiments of the Electric Vehicle charging Network Utility Maximization
fengfengis/ML-based-Heuristic-learning-charging-time-scheduling-of-EV-vehicles-to-minimize-the-energy-peaks
The python code generated random demands of random EV vehicles and household electricity demands. It then plots the graphs between earlier energy peaks and reductions in peaks after the implementation of the algorithm. The main concern of the project is to minimize the peaks(high electricity demands) in electricity demands by scheduling the EV charging by using Heuristic learning approach and minimizing the cost of charging. Priorities are also considered along with other factors.
fengfengis/PowerGrid
Data processing for Power Pricing.
fengfengis/Reinforcement-Learning-for-Real-time-Pricing-and-Scheduling-Control-in-EV-Charging-Stations
Reinforcement Learning for Real time Pricing and Scheduling Control in EV Charging Stations