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Open Automated Demand Response (OpenADR) is an open and interoperable information exchange model and emerging smart grid standard.
lang: Python
stars: 142
last activity:
A testbed platform to model sequential decision making in power systems.
lang: Python
stars: 336
last activity:
A modular, extensible, industrial-strength and field-tested platform for use in electricity, water and other utility operations.
lang: TypeScript
stars: 40
last activity:
Open Source Energy Management System.
lang: Java
stars: 967
last activity:
An easy-to-use Power System Analysis Automation Platform atop PowerWorld's Simulator Automation Server.
lang: Python
stars: 47
last activity:
A Python library to generate and simulate a large number of microgrids.
lang: Python
stars: 76
last activity:
An Open Source power system simulator to quantify the adequacy or the economic performance of interconnected energy systems, at short or remote time horizons.
lang: C
stars: 68
last activity:
Renewable Energy Potential(V) eXchange Toot.
lang: Python
stars: 26
last activity:
Makes the US' energy data easier to access and use.
lang: Python
stars: 532
last activity:
A model of the European electricity system built using Calliope.
lang: Python
stars: 32
last activity:
Used in distributed- and co-simulation scenarios and developed for the field of power grid simulation at the EON Energy Research Center in Aachen.
lang: C++
stars: 14
last activity:
A framework to develop energy system models, with a focus on flexibility, high spatial and temporal resolution, the ability to execute many runs based on the same base model, and a clear separation of framework and model.
lang: Python
stars: 319
last activity:
Assesses optimal designs for the deployment of utility-scale hybrid energy plants, particularly considering wind, solar and storage.
lang: Python
stars: 26
last activity:
A library for steady-state distribution power system analysis distributed for Python and C.
lang: C++
stars: 166
last activity:
Provides an optimization model for the electricity market and its coupling with other energy sectors (e.g., hydrogen, heat, natural gas, etc.) with the main objective to determine the optimal investment and operation decisions for different types of assets.
lang: JetBrains MPS
stars: 38
last activity: