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librom

Model reduction library with an emphasis on large scale parallelism and linear subspace methods

linear-three-phase-distribution-syetem-pf

load-forecasting-during-covid-19

The code repo for building reliable load forecasting model during the COVID-19 pandemic

locally-adaptive-activation-functions-neural-networks-

These are the set of python codes for Locally Adaptive Activation Function (LAAF) used in deep neural networks. The paper is available on arxiv https://arxiv.org/abs/1909.12228 Please cite this work as "A D Jagtap, K Kawaguchi, G E Karniadakis, Locally adaptive activation functions with slope recovery term for deep and physics-informed neural networks, arXiv preprint arXiv:1909.12228, 2019

lqr-opf

lrc_scuc

This set of codes implements our TPWRS paper "Security-Constrained Unit Commitment Considering Locational Frequency Stability in Low-Inertia Power Grids". This work is under the open license: CC BY 4.0.

maac

Code for "Actor-Attention-Critic for Multi-Agent Reinforcement Learning" ICML 2019

maml

Code for "Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks"

mapr2

marl-papers

Paper list of multi-agent reinforcement learning (MARL)

marl_transfer

Code for paper 'Learning transferable cooperative behaviors in multi-agent teams' (ICML 2019)

matlab-code-of-robust-gm-estimator-for-power-system-state-estimation-using-projection-statistics

Here, we would like to share the Matlab code of the GM-estimator to all researchers. We also invite each of you to test the method and give us your feedback if you have any. The code attached is to implement the GM-estimator proposed by Mili in [R1]. The test systems include IEEE 14-bus, 30-bus and 118-bus systems. Only SCADA measurements are included. We have included detailed comments of the code.

merlin

Machine Learning for HPC Workflows

meta-sac

Auto-tune the Entropy Temperature of Soft Actor-Critic via Metagradient - 7th ICML AutoML workshop 2020

mfgsa

multifidelity global sensitivity analysis

mfmc

Multi Fidelity Monte Carlo

multi_res_gps

neural-networks-and-deep-learning

Code samples for my book "Neural Networks and Deep Learning"

neuromancer

Pytorch-based framework for solving parametric constrained optimization problems.

nndl.github.io

《神经网络与深度学习》 邱锡鹏著 Neural Network and Deep Learning

ns3_cybersec

This repository contain a modified version of NS-3 where the users can create attacks such as TCP SYN flood , ARP spoofing, ICMP redirection and MITM attacks. The intention is for the user to carry out cybersecurity simulations for power systems. Up to date the users can modify general TCP/UDP socket data and DNP3 protocol data. We will be adding support for the other protocols like MODBUS, IEC104, PMU and IEC61850 in the future. Have a look at the folder ns-allinone-3.29/ns-3.29/examples/RTDS-DoS-Simulation for the examples related to running cyber-physical simulations with an RTDS simulator.

numericalgp

Numerical Gaussian Processes for Time-dependent and Non-linear Partial Differential Equations

open-dsopf

An Open-Source Optimal Power Flow Formulation: Integrating Pyomo & OpenDSS in Python

opender

Open-source Distributed Energy Resources (DER) Model that represents IEEE Standard 1547-2018 requirements for steady-state and dynamic analyses

opf-admm

Distributed Optimal Power Flow for Radial Networks via Message Passing Interface (MPI)

optnet

OptNet: Differentiable Optimization as a Layer in Neural Networks

paraemt_public

parametricgp

Parametric Gaussian Process Regression for Big Data

passivity-enforcement-fos

Code associated with the paper "Leveraging Passivity Enforcement for Locating the Sources of Forced Oscillations"

pde-surrogate

Physics-constrained deep learning for high-dimensional surrogate modeling and uncertainty quantification without labeled data