AquaCast
Transformer-based time-series forecasting framework for urban water dynamics.
Research framework for multi-variate, multi-horizon time-series forecasting of urban water dynamics using transformer architectures. Includes synthetic datasets, Docker setup, and experiment scripts. Real operational data unavailable due to NDAs. References an arXiv preprint.
Deep Neural NetworksPredictorTime Series
- Technical
- Source code: Lab Github
- Last commit: 2026-03-11
The Embedded Systems Laboratory (ESL) is part of the Institute of Electrical Engineering at EPFL, and focuses on the definition of system-level multi-objective design methods, optimization methodologies and tools for high-performance embedded systems and nano-scale Multi-Processor System-on-Chip (MPSoC) architectures targeting the Internet-of-Things (IoT) Era.
This page was last edited on 2026-03-03.
This page was last edited on 2026-03-03.