This project is a instruction for the parameters of the case studies in our paper "A Behavior-Based and Fast Convergence Energy Sharing Mechanism for Prosumers Community".
two_prosumer.npy:The parameters of the case studies on communities with 2 prosumers.
ten_prosumer.npy:The parameters of the case studies on communities with 10 prosumers.
fifty_prosumer.npy:The parameters of the case studies on communities with 50 prosumers.
hundred_prosumer.npy:The parameters of the case studies on communities with 100 prosumers.
Python 3
Numpy
import numpy as np
dict_ = np.load('two_prosumer.npy',allow_pickle = True).item()
Our data is structured in the form of a dictionary, where the meaning of different key is explained as follows:
'E' : It refers to the E in formula (2c);
'Di' : It refers to the Di in formula (2c);
'Ai' : It refers to the Ai in formula (2b);
'Bi' : It refers to the Bi in formula (2b);
'Qi' : It refers to the Qi in formula (2a);
'di' : It refers to the di in formula (2a);
'ci' : It refers to the ci in formula (2a);