Explore @UNSW-CEEM Open Source projects

Collaboration on Energy and Environmental Markets (CEEM) (@UNSW-CEEM)

UNSW-CEEM

Stars
213
Global Org. Rank 38,558 (Top 13 %)
Registered over 6 years ago
Most used languages

Python
58.8 %

MATLAB
11.8 %

JavaScript
5.9 %

R
5.9 %

HTML
5.9 %

Jupyter Notebook
5.9 %

Vue 5.9 %
Location 🇦🇺 Australia
Country Total Rank 2,265
Country Ranking

MATLAB
182

Vue 234

Python
288

R
382

Jupyter Notebook
1,193

HTML
3,624

JavaScript
3,643

NEMOSIS

NEMOSIS: NEM Open-source information service. A Python package for downloading historical data published by the Australian Energy Market Operator (AEMO)

energy-market-deep-learning

Experiments in using deep learning to model competition in liberalised electricity markets.

nempy

A Python package for modelling the Australian National Electricity Market dispatch procedure

NEMSEER

A package for downloading and handling forecasts for the National Electricity Market (NEM) from the Australian Energy Market Operator (AEMO).

NEMED

National Electricity Market Emissions Data Tool

energy-sharing

Local Energy Sharing Simulator, developed by Naomi Stringer, Luke Marshall, David Martin for the Center of Energy and Environmental Markets at UNSW (Sydney, Australia)

nem-bidding-dashboard

Dashboard for visualising Australian National Electricity Market bidding data

TDA_Python

Tariff Design and Analysis (TDA) tool aims to assist stakeholders to investigate how different tariff structures impact on the expected bills of different types of residential consumers.

TDA_Matlab

Electricity networks Tariff Design and Analysis (TDA) tool

DER_disturbance_analysis

Tool to analyse PV and DER response to System Disturbances

ceem-python-template

Template repo for CEEM Python projects

NEMPRO

NEMPRO: National Electricity Market Portfolio Revenue Optimiser

Bill_Calculator

Calculate the bill components for multiple load profiles using specific network and/or retail tariffs

Jupyter Notebook

market-control-room

A web-based explorer for the results of electricity market deep learning simulations.

MC-ELECT

MC-ELECT (Monte Carlo Electricity Generation Portfolio Assessment Tool)

CEEM-Gists

A code snippet wiki

jenga

Bid Stack Explorer