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GitHub / MFHChehade / Optimal-Power-Flow-via-Neural-Networks

The projects aims to solve the optimal power flow (OPF) problem using feed-forward artificial neural networks (ANNs). The use of ANNs is to accelerate the time needed to solve the problem.

JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/MFHChehade%2FOptimal-Power-Flow-via-Neural-Networks

Stars: 0
Forks: 1
Open issues: 0

License: None
Language: Jupyter Notebook
Size: 10.5 MB
Dependencies parsed at: Pending

Created at: over 2 years ago
Updated at: 9 months ago
Pushed at: 9 months ago
Last synced at: 7 months ago

Commit Stats

Commits: 9
Authors: 1
Mean commits per author: 9.0
Development Distribution Score: 0.0
More commit stats: https://commits.ecosyste.ms/hosts/GitHub/repositories/MFHChehade/Optimal-Power-Flow-via-Neural-Networks

Topics: artificial-neural-networks, energy-system, machine-learning, optimization, power-systems

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