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A least-cost optimization model for simulating the Unit Commitment and Economic Dispatch of large-scale (regional to country) power systems.
lang: Python
stars: 71
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Integrated assessment model with a realistic treatment of technology diffusion.
lang: Python
stars: 8
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A powerful, format-agnostic, community-driven Python package for analyzing and visualizing Earth science data.
lang: Python
stars: 610
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Gives you access to real-time and historical surface-based weather and environmental observations for thousands of stations.
lang: Python
stars: 40
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An open international initiative of scientists interested in the advancement of the understanding of the global aerosol and its impact on climate.
lang: Python
stars: 23
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Simulates customisable water allocation and operation rules throughout complex multi-purpose managed water systems at each user-defined time-step.
lang: Python
stars: 142
last activity:
A Python package for tackling diverse environmental prediction tasks with neural processes.
lang: Python
stars: 71
last activity:
An API that repackages hydrology datasets from the Surface Water and Ocean Topography satellite into formats that make time-series analysis easier.
lang: Python
stars: 14
last activity:
Distributed event-based model for surface and subsurface runoff and erosion.
lang: Python
stars: 8
last activity:
A collection of water quality and vegetation process simulation modules designed to couple with water transport models.
lang: Python
stars: 5
last activity:
Access and analyze historical weather and climate data with Python.
lang: Python
stars: 352
last activity:
A collection of Python utilities for retrieving atmospheric and oceanic data from remote sources, focusing on being able to retrieve data from Unidata data technologies.
lang: Python
stars: 211
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A testbed platform to model sequential decision making in power systems.
lang: Python
stars: 264
last activity:
An open source suite to measure, display and compare software energy and CO2 consumption for containerized software. External power meters as well as RAPL and also ML-estimation models are supported.
lang: Python
stars: 130
last activity:
The Koster Seafloor Observatory is an open-source, citizen science and machine learning approach to analyse subsea movies.
lang: Python
stars: 4
last activity: