Discover UNSW-CEEM/energy-sharing Open Source project

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Python
Created about 6 years ago
Updated almost 2 years ago

UNSW-CEEM

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

NEMOSIS

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

Python

energy-market-deep-learning

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

Python

nempy

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

Python

NEMSEER

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

Python

NEMED

National Electricity Market Emissions Data Tool

Python

nem-bidding-dashboard

Dashboard for visualising Australian National Electricity Market bidding data

Python

DER_disturbance_analysis

Tool to analyse PV and DER response to System Disturbances

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.

JavaScript

TDA_Matlab

Electricity networks Tariff Design and Analysis (TDA) tool

MATLAB

ceem-python-template

Template repo for CEEM Python projects

Python

NEMPRO

NEMPRO: National Electricity Market Portfolio Revenue Optimiser

Python

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.

Vue

MC-ELECT

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

CEEM-Gists

jenga

UNSW-CEEM/energy-sharing

UNSW-CEEM

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