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dpsim

Real-time power system simulator (powerflow, dynamic phasors, EMT)

dragg

Distributed Resource AGGregation (DRAGG) implements centralized MPC for residential buildings using an aggregator and residential building owner (RBO) model

dsse_physics_informed_dnn

Physics informed, deep-learning-based state estimation for distribution electrical grids. The study proposes using physical properties of the grid connectivity as a regularizer of a deep neural network training.

dxflow

Open-Source Poly-Phase Distribution load flow simulation tool

easygsa

Efficient global sensitivity analysis using mechanistic or machine learning models

elecloads

A Data-Driven Approach for Generating Synthetic Load Patterns and Usage Habits

emt_benchmarks

Test cases for the simulation of electromagnetic transients

energyplus

EnergyPlus™ is a whole building energy simulation program that engineers, architects, and researchers use to model both energy consumption and water use in buildings.

epri-ckt5

optimal power flow EPRI test feeder 5

eqdiscovery

Physics-informed learning of governing equations from scarce data

ev-demand-profiles

EV Profiles for sharing with DNSPs or any other interested party.

extension-of-the-ieee-39-bus-test-networkfor-the-study-of-fundamental-dynamicsof-modern-power-system

fncs-tutorial

Step-by-step guide for building and running FNCS2, ns-3, GridLAB-D, and MATPOWER.

gdm-pce

Source code of: "Manifold learning-based polynomial chaos expansions for high-dimensional surrogate models".

global_sensitivity_analysis_distributionsystem

Code for the published paper: A Data-Driven Global Sensitivity Analysis Framework for Three-Phase Distribution System With PVs

gnu-rl

A precocial reinforcement learning solution for HVAC control

gpflow

Gaussian processes in TensorFlow

gpmat

Matlab implementations of Gaussian processes and other machine learning tools.

gp_emu_uqsa

Gaussian Process emulation for Uncertainty Quantification and Sensitivity Analysis

graph-adversarial-learning-literature

A curated list of adversarial attacks and defenses papers on graph-structured data.

gridcal

GridCal, a cross-platform power systems solver written in Python with user interface and embedded python console

griddyn

GridDyn is an open-source power transmission simulation software package

gridstage

guassian_process_cc-opf

Gaussian Process CC-OPF framework

ieee-123-node-restoration

influence-release

interested-paper-collection

interpretable-ml-book

Book about interpretable machine learning

koopmanmpc_for_flowcontrol

A data-driven framework for control of nonlinear flows with Koopman Model Predictive Control

l2rpn

CodaLab L2RPN: Learning to Run a Power Network