Learn the workflow.
Check the result.
Eight practical guides with worked examples, downloadable data, calculations and troubleshooting, all explained here.
EPANET: build, check and challenge a network
Open a complete teaching model, reconcile flow and headloss, and extend the assessment to demand, storage and outage scenarios.
InfoWorks WS Pro: demand allocation you can audit
Work through customer hierarchy, allocation rules, zone changes and demand reconciliation before trusting network results.
eWater Source: a storage model with a closing balance
Build a daily resource model, distinguish inaccessible storage from a supply rule, and measure shortfall under comparable scenarios.
QGIS: allocate customers to zones without losing the ledger
Create a clean spatial dataset, resolve duplicate and boundary records, and reconcile zone demand using a fully supplied exercise.
ArcGIS Pro: build a defensible zone-demand layer
Use geoprocessing, join diagnostics and explicit allocation decisions to turn customer tables into a reliable planning dataset.
Python: turn hourly demand into a checked daily series
Run a complete data audit that detects duplicate and missing intervals, preserves uncertainty and produces a usable engineering output.
Power BI: show hydraulic results without hiding the exceptions
Build a small scenario dashboard with correct data grain, explicit pressure criteria and measures that distinguish events from affected assets.
Machine learning: a forecast with a fair test
Run a complete demand-forecasting experiment with chronological validation, seasonal baselines and a clearly defined operational horizon.
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