PEAR is a Python program that takes advantage of Petri nets and logical conditions to develop a screening tool aimed at studying the effect of perturbations in interconnected systems.
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Updated
May 6, 2019 - Python
PEAR is a Python program that takes advantage of Petri nets and logical conditions to develop a screening tool aimed at studying the effect of perturbations in interconnected systems.
A policy simulator for batch interconnection of large loads (data centers): allocation rules, fees, network-derived scenarios, and equilibrium oracles
using ifaceinfo and docker modules the module can provide the connexion of container virtual network card to the virtual card in the host machine.
Calibrated probabilities on whether US interconnection requests ever get built. Base rates, an append-only prediction ledger, a daily snapshot archive, and a shared-frailty portfolio model.
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