Pinned Repositories
awesome-power-analysis
Awesome Power Analysis is for collecting power analysis related sources, including power flow, production cost modeling, etc.
benchmark-model-multi-energy-networks
This repository contains the documentation and reference implementations of the multi-energy networks benchmark model developed in the ERIGrid 2.0 project.
BuildingsPy
Python modules for automating Modelica simulations and for running unit test for the Buildings library
CityLearn
Official reinforcement learning environment for demand response and load shaping
Deep-Reinforcement-Learning-with-Python
Deep Reinforcement Learning with Python, Second Edition, published by Packt
DeepRL-Agents
A set of Deep Reinforcement Learning Agents implemented in Tensorflow.
Electric-Vehicle-Route-Planning-on-Google-Map-Reinforcement-Learning
User can set up destination for any agent to navigate on Google Map and learn the best route for the agent based on its current condition and the traffic. Our result is 10% less energy consumption than the route provided by Google map
energy-market-deep-learning
Experiments in using deep learning to model competition in liberalised electricity markets.
energy-trading
epftoolbox
An open-access benchmark and toolbox for electricity price forecasting
isthatasim's Repositories
isthatasim/benchmark-model-multi-energy-networks
This repository contains the documentation and reference implementations of the multi-energy networks benchmark model developed in the ERIGrid 2.0 project.
isthatasim/BuildingsPy
Python modules for automating Modelica simulations and for running unit test for the Buildings library
isthatasim/CityLearn
Official reinforcement learning environment for demand response and load shaping
isthatasim/epftoolbox
An open-access benchmark and toolbox for electricity price forecasting
isthatasim/FirstRepo
isthatasim/gen_pandapower_pv
Network generation for paper Multi-Agent Reinforcement Learning for Active Voltage Control on Power Distribution Networks.
isthatasim/gym-anm
Design Reinforcement Learning environments that model Active Network Management (ANM) tasks in electricity distribution networks.
isthatasim/load-forecasting
A collection of tools for predicting energy consumption and peak shaving under uncertainty.
isthatasim/lux
Python API for Intelligent Visual Data Discovery
isthatasim/LyDROO
Lyapunov-guided Deep Reinforcement Learning for Stable Online Computation Offloading in Mobile-Edge Computing Networks
isthatasim/MathWorks-Excellence-in-Innovation
Capstone and senior design project ideas for undergraduate and graduate students to gain practical experience and insight into technology trends and industry directions.
isthatasim/ml-glossary
Machine learning glossary
isthatasim/NARP
NARP (N-Area Reliability Program) (Fortran version)
isthatasim/ol-ems
Online learning algorithm for microgrid energy management based on MPC
isthatasim/OMLT
Represent trained machine learning models as Pyomo optimization formulations
isthatasim/Open-DSOPF
An Open-Source Optimal Power Flow Formulation: Integrating Pyomo & OpenDSS in Python
isthatasim/openems
OpenEMS - Open Source Energy Management System
isthatasim/Optimal-Microgrid-Configuration
Test case data for optimal microgrid configuration problem
isthatasim/pandapower
Convenient Power System Modelling and Analysis based on PYPOWER and pandas
isthatasim/Portfolio
My self coded personal website build with React.js
isthatasim/power-grid-model-benchmark
Benchmark example of power grid model
isthatasim/PowerDataset_V1
This is a handy tool to assist researchers to export electrical quantities in a power grid (e.g. IEEE 118) such as power flows, power injections and others to featured ML-ready datasets.
isthatasim/pymgrid
pymgrid is a python library to generate and simulate a large number of microgrids.
isthatasim/Python
All Algorithms implemented in Python
isthatasim/python-machine-learning-book-3rd-edition
The "Python Machine Learning (3rd edition)" book code repository
isthatasim/RAMP
Repository of the open-source RAMP model for generating multi-energy loads profiles
isthatasim/ray
An open source framework that provides a simple, universal API for building distributed applications. Ray is packaged with RLlib, a scalable reinforcement learning library, and Tune, a scalable hyperparameter tuning library.
isthatasim/reinforcement-learning-an-introduction
Solutions to Exercises - Reinforcement Learning: An Introduction (Second Edition)
isthatasim/smart-rl-mg
Reinforcement Learning + Microgrids for OpenDSS with the Stanford Microgrid Analysis and Research Training internship
isthatasim/TSG-P2P-Pricing
Public Repository for TSG submission of paper: Pricing and energy trading in peer-to-peer zero marginal-cost microgrids