Junbo Zhao's Projects
AC cascading failure model based on MATPOWER for resilience analysis of power networks.
Research tools for the Adaptive Charging Network
Source for experiments in the Additive Gaussian process paper, as well as extensions relating to dropout.
Physics-constrained auto-regressive convolutional neural networks for dynamical PDEs
Robust Reinforcement Learning with the Alternating Training of Learned Adversaries (ATLA) framework
Personal analysis of the "Solar home electricity" dataset from Ausgrid
:books: :eyeglasses: A collection of research papers, codes, tutorials and blogs on Federated Computing/Learning.
A geographically-accurate synthetic electric grid located in California.
Characterizing possible failure modes in physics-informed neural networks.
Robustness guarantees for Gaussian Process
Official reinforcement learning environment for demand response and load shaping
Bayesian deep convolutional encoder-decoder networks for surrogate modeling and uncertainty quantification
ConvertChanceConstraint (ccc): a Matlab toolbox for Chance-constrained Optimization
Tensorflow implementation for learning an image-to-image translation without input-output pairs. https://arxiv.org/pdf/1703.10593.pdf
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.
This code studies a linearized PF model through a data-driven approach.
Companion code to the paper "Transient Stability of Droop-Controlled Inverter Networks with Operating Constraints".
Repo for a paper about constructing priors on very deep models.
Implementation of Deep Statistical Solver for Distribution System State Estimation
Deep Gaussian Processes in matlab
Deep Hidden Physics Models: Deep Learning of Nonlinear Partial Differential Equations
Learning nonlinear operators via DeepONet
A pytorch adversarial library for attack and defense methods on images and graphs
Deep learning library for solving differential equations and more
DGN Code
A simulation framework for topology identification and model parameter estimation in power distribution grids: https://ieeexplore.ieee.org/document/8601410
This repository contains the files for the 5th Edition of Distribution System Modeling and Analysis by Bill Kersting and Bob Kerestes
Multi-fidelity Bayesian Optimization via Deep Neural Nets
Distributed Optimal and Predictive Energy Resources