Sports Facilities
(Sports Facilities – Hourly Energy Dataset)
Dataset Purpose
This dataset acts as a base data service for algorithms oriented towards high-performance energy management in sports facilities, characterized by intensive and highly variable demands.
The dataset allows for the analysis of energy consumption associated with high-power lighting, climatization of large spaces, heated pools, and specialized sports equipment, enabling algorithms for operational optimization, peak load management, and coordination with local renewable generation, all within a Compute-to-Data environment that preserves data sovereignty.
Scope and Technical Considerations
Given the variability of use and energy intensity of these facilities, the dataset is designed to offer precise analysis without exposing sensitive information:
- Data is filtered by a specific time period (day, week, or month)
- The resolution is hourly
- Only strictly necessary energy fields are included
- No direct exposure of occupancy, events, or security data
This approach allows for consumption optimization while maintaining sports service quality.
Dataset Type
- Private Dataset
- Non-downloadable
- Accessible only by authorized algorithms
- Governed under municipal or operator energy management policies
- Executed via Compute-to-Data on Empower-X
Users do not access the raw data directly.
Dataset Content
The dataset contains hourly energy data associated with electrical supply points powering sports facilities such as gyms, sports centers, pools, and sports fields.
Each record represents the energy consumption of one supply point (CUPS) at a specific hour, without revealing 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 many sports facilities, generation and export fields may be null.
What Each Field Represents
-
cups_id Identifier of the supply point associated with a sports facility, anonymizing the identity and location of the asset.
-
timestamp Allows for analysis of hourly consumption patterns linked to training sessions, sports events, and intensive facility use.
-
energy_consumed_kwh Electrical energy consumed by lighting, HVAC, pools, and sports equipment during the indicated hour.
-
energy_generated_kwh Energy generated locally (e.g., photovoltaic on sports roofs), when applicable.
-
energy_exported_kwh Energy exported to the grid, in case of existing local generation.
Relation to Algorithms
This dataset feeds algorithms oriented towards:
- Operation optimization based on schedules and demand
- Management and smoothing of electrical load peaks
- Optimization of local renewable energy use
- Detection of anomalous consumption
- Energy efficiency analysis by facility type
- Support for investment and operational improvement decisions
Algorithms access only the fields necessary for each analysis.
Security, Governance, and Audit
- The data does not leave the secure environment
- Dataset download is not permitted
- Access regulated by governance policies
- Auditable executions
- Results always aggregated or derived
This design guarantees the protection of operational information and compliance with data sovereignty principles.
Summary
The sports facilities dataset provides a secure, governed, and hourly view of energy consumption in gyms, sports centers, and sports fields. Designed as a private data service for Compute-to-Data, it enables the execution of algorithms for energy optimization, peak management, and coordination with renewables, reducing operational costs and emissions without compromising sports service quality.