Status: Expect regular updates and bug fixes.

This module is based on the Solar PV-DER simulation utility module. It provides methods to generate training data, as well as define, train, and evaluate neural networks that emulate the dynamics of a Solar photovoltaic distributed energy resource (PV-DER) connected to a stiff voltage source.

• Source code repository: https://github.com/sibyjackgrove/neural-DER

You can clone the module directly from github with following commands:

git clone https://github.com/sibyjackgrove/neural-DER.git
cd neural-DER

Dependencies: SciPy, Numpy, Matlplotlib

Please feel free to raise an issue when bugs are encountered or if you are need further documentation.

• Siby Jose Plathottam [email protected]

If you use this code please cite it as:

@misc{neuralder,
  title = {{neural-DER}: A utility training and evaluating neural network models emulating PV-DER dynamics},
  author = "{Siby Jose Plathottam}",
  howpublished = {\url{https://github.com/sibyjackgrove/neural-DER}},
  url = "https://github.com/sibyjackgrove/neural-DER",
  year = 2019,
  note = "[Online; accessed ]"
}

Copyright © 2019, Plathottam, Siby Jose

neural-DER is distributed under the terms of BSD-3 OSS License.