- Germany, Aachen
-
01:51
(UTC +02:00) - https://opensustain.tech/
- @opensustaintech@mastodon.social
- in/tobias-augspurger
- https://orcid.org/0000-0003-1744-1112
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A Python framework using OPM Flow to simulate regional and site reservoirs for CO2 storage
Hydrogen (or other pure species) depressurization calculations
This Venus OS driver gets the data from MQTT and displays it as pv inverter.
Battery Data Format Definition
Home Assistant integration framework for (garbage collection) schedules
Landscape fragmentation and connectivity analysis
PowerMCP is an open-source collection of MCP servers for power system software like PowerWorld, PSSE and OpenDSS. These tools enable LLMs to directly interact with power system applications, facili…
Generate power flow data to train machine learning and foundation models for the electric power grid.
Pre-delineated MERIT-Hydro watershed boundaries for ~60,000 gauging stations across 16 countries. Zero-config — basins are fetched from a public CDN and cached locally.
Forest Disturbance Dataset utilising Sentinel-2 data and RADD alert disturbances.
🪨 why use many token when few token do trick — Claude Code skill that cuts 65% of tokens by talking like caveman
An R Package for Managing Species Records from Biological Collections
Software package for (N-1-1) LASCOPF (Look-Ahead Security Constrained Optimal Power Flow) with post-contingency restoration in terms of thermal line limits. Also includes Distributed Deep Reinforce…
Realtime mapping the downstream impact of Combined Sewage Overflow discharge events in non-tidal rivers across England and Wales
DestinE DeltaTwin workflow creation for Sentinel2 L2A product generation with AI
PDF Parser for AI-ready data. Automate PDF accessibility. Open-source.
CodiMD - Realtime collaborative markdown notes on all platforms.
Track the carbon footprint of your Claude Code sessions
Processing data from micrometeorological Eddy-Covariance systems
TerraMind is the first any-to-any generative foundation model for Earth Observation, built by IBM and ESA.
Physics-aware flood mapping with TerraMind geospatial foundation model. Cross-attention DEM fusion achieves 58.3% IoU on Sen1Floods11 benchmark.
Wetlands flooding extent and trends using SATellite data and Machine Learning v2.0