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deepmachinelearning

electricity-cost-forecasting-using-machine-learning-and-deep-learning-models

Comparative study of ANN, CNN, LSTM, and ARIMA for time-series forecasting

energyboost

Code release of EnergyBoost: Learning-based Control of Home Batteries

grid2op

Grid2Op a testbed platform to model sequential decision making in power systems.

gym-opendss

An implementation of an OpenAI gym environment for EPRI OpenDSS, using OpenDSS's native Python COM interface.

mapdn

This repository is for an open-source environment for multi-agent active voltage control on power distribution networks (MAPDN).

power-system-reinforcement-learning-agent

powergrid-models

CIM interfaces for GridLAB-D and OpenDSS; data and test scripts for the PNNL taxonomy feeders, EPRI large-circuit and DPV test feeders, and some IEEE test feeders.

practical_rl

A course in reinforcement learning in the wild

pyreto

Reinforcement learning agent based electricity market simulator

pyvvo

Data-driven volt-VAR optimization

q-learning

A model free reinforcement learning algorithm for detect and defense task in a smart power system

searchable_encryption

This project gives the python implementation of a space efficient searchable encryption algorithm

smart-rl-mg

Reinforcement Learning + Microgrids for OpenDSS with the Stanford Microgrid Analysis and Research Training internship

sparc

Smart Grid solution which compiles home networks and grids in an effecient manner, controlled by recurrent networks which predict distribution and consumption and also supported by an energy credit system. All running as microservices supporting each other.

stable-baselines

A fork of OpenAI Baselines, implementations of reinforcement learning algorithms