Pumping Stations and Water Infrastructure
(Water Pumping Infrastructure Hourly Energy Dataset)
Dataset Purpose
This dataset acts as a base data service for algorithms applied to the monitoring and optimization of energy consumption in drinking water and wastewater pumping stations, as well as other municipal water infrastructures.
The dataset allows for the analysis of the energy behavior of pumping assets securely, enabling algorithms for anomaly detection, maintenance prediction, and operational efficiency evaluation, all within a Compute-to-Data environment that protects critical infrastructure information.
Scope and Technical Considerations
Given the critical nature of water infrastructure, the dataset is designed to minimize the exposure of sensitive data and comply with operational security requirements:
- Data is filtered by a specific time period (day, week, or month)
- The resolution is hourly
- Only strictly necessary energy fields are included
- No detailed technical information about the infrastructure is returned
This approach allows for advanced analysis without compromising security or data sovereignty.
Dataset Type
- Private Dataset
- Non-downloadable
- Accessible only by authorized algorithms
- Governed under municipal data policies
- Executed via Compute-to-Data on Empower-X
Direct human access to raw data is not permitted.
Dataset Content
The dataset contains hourly energy data associated with electrical supply points powering pumping stations and water infrastructures.
Each record represents the energy consumption of one supply point (CUPS) at a specific hour, without exposing sensitive operational information.
Dataset Format
The dataset follows a fixed tabular format, common to the rest of the ecosystem datasets.
Dataset Structure
| Field | Description |
|---|---|
cups_id | Supply point identifier (anonymized if applicable) |
timestamp | Date and time of the record (hourly resolution) |
energy_consumed_kwh | Energy consumed in that hour (kWh) |
energy_generated_kwh | Energy generated in that hour (kWh, if exists) |
energy_exported_kwh | Energy exported to the grid in that hour (kWh, if exists) |
In most pumping stations, generation and export fields may be null.
What Each Field Represents
-
cups_id Identifier of the supply point associated with a pumping station or water infrastructure, anonymizing the location and the specific asset.
-
timestamp Allows for analysis of hourly patterns, operating cycles, and temporal correlations relevant to energy efficiency and maintenance.
-
energy_consumed_kwh Electrical energy consumed by the pumping station during the indicated hour.
-
energy_generated_kwh Energy generated locally (e.g., self-consumption in facilities with own generation), if applicable.
-
energy_exported_kwh Energy exported to the grid, when associated generation exists.
Relation to Algorithms
This dataset feeds algorithms oriented towards:
- Energy anomaly detection
- Maintenance prediction
- Operational efficiency analysis
- Identification of anomalous consumption patterns
- Energy cost optimization
- Supply failure prevention
Algorithms access only the necessary energy data.
Security, Governance, and Audit
- The data does not leave the secure environment
- Dataset download is not permitted
- Access regulated by municipal governance policies
- Auditable executions
- Results always aggregated or derived
This approach protects critical infrastructures and guarantees compliance with security and data sovereignty regulations.
Summary
The pumping stations and water infrastructure dataset provides a secure, governed, and hourly view of the energy consumption of critical drinking water and wastewater assets. Designed as a private data service for Compute-to-Data, it enables the execution of anomaly detection and predictive maintenance algorithms, optimizing energy costs and improving service resilience without exposing sensitive infrastructure information.