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ac-cfm

AC cascading failure model based on MATPOWER for resilience analysis of power networks.

acnportal

Research tools for the Adaptive Charging Network

additive-gps

Source for experiments in the Additive Gaussian process paper, as well as extensions relating to dropout.

ar-pde-cnn

Physics-constrained auto-regressive convolutional neural networks for dynamical PDEs

atla_robust_rl

Robust Reinforcement Learning with the Alternating Training of Learned Adversaries (ATLA) framework

ausgrid-solar-data

Personal analysis of the "Solar home electricity" dataset from Ausgrid

autobfe

awesome-federated-computing

:books: :eyeglasses: A collection of research papers, codes, tutorials and blogs on Federated Computing/Learning.

cats-californiatestsystem

A geographically-accurate synthetic electric grid located in California.

characterizing-pinns-failure-modes

Characterizing possible failure modes in physics-informed neural networks.

checkgp

Robustness guarantees for Gaussian Process

citylearn

Official reinforcement learning environment for demand response and load shaping

cnn-surrogate

Bayesian deep convolutional encoder-decoder networks for surrogate modeling and uncertainty quantification

convertchanceconstraint-ccc

ConvertChanceConstraint (ccc): a Matlab toolbox for Chance-constrained Optimization

cyclegan-tensorflow

Tensorflow implementation for learning an image-to-image translation without input-output pairs. https://arxiv.org/pdf/1703.10593.pdf

cyme_to_opendss_asu

Distribution System Model Transformation Tool: Used to convert CYME model (CYME 8.XX) to an OpenDSS model. This tool was created at Arizona State University as a part of their projects.

data-driven-power-flow-linearization

This code studies a linearized PF model through a data-driven approach.

dcmg-transient-stability

Companion code to the paper "Transient Stability of Droop-Controlled Inverter Networks with Operating Constraints".

deep-limits

Repo for a paper about constructing priors on very deep models.

deep-statistical-solver-for-distribution-system-state-estimation

Implementation of Deep Statistical Solver for Distribution System State Estimation

deepgp

Deep Gaussian Processes in matlab

deephpms

Deep Hidden Physics Models: Deep Learning of Nonlinear Partial Differential Equations

deeponet

Learning nonlinear operators via DeepONet

deeprobust

A pytorch adversarial library for attack and defense methods on images and graphs

deepxde

Deep learning library for solving differential equations and more

dgn

DGN Code

distribution-grid-identification

A simulation framework for topology identification and model parameter estimation in power distribution grids: https://ieeexplore.ieee.org/document/8601410

distributionmodelllingandanalysised5

This repository contains the files for the 5th Edition of Distribution System Modeling and Analysis by Bill Kersting and Bob Kerestes

dnn-mfbo

Multi-fidelity Bayesian Optimization via Deep Neural Nets

doper

Distributed Optimal and Predictive Energy Resources