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Resources

A growing library for digital water areas such as modelling and machine learning — the people, courses, books, papers, videos, and tools I'd point a colleague to.

Interpretable & trustworthy ML

Models operators can actually trust — where accuracy meets explainability.

3 resources

SciML (Hybrid mechanistic + data-driven modelling)

Combining process theory with machine learning to get the best of both.

1 resource

N₂O & greenhouse-gas emissions

Monitoring, modelling, predicting, and mitigating emissions from water resource recovery facilities.

4 resources

Digital twins & process control

Where models stop describing a plant and start steering it — forecasting, MPC, and live digital twins.

Growing soon

Water/Wastewater Process Control

Predictive maintenance and operational intelligence — anticipating failure instead of reacting to it.

Growing soon

Advanced Modelling & Simulaiton

The software where water/wastewater engineering models get built and run.

10 resources

Timeseries Analysis & Forecasting

The general toolkit and learning path for the data side of the work.

13 resources

Knowledge Graphs & Causality

The general toolkit and learning path for the data side of the work.

13 resources