Author
Listed:
- Christopher Flynn
(IMaR Research Centre, Munster Technological University, V92 CX88 Tralee, County Kerry, Ireland)
- Trevor Murphy
(IMaR Research Centre, Munster Technological University, V92 CX88 Tralee, County Kerry, Ireland)
- Joseph Walsh
(IMaR Research Centre, Munster Technological University, V92 CX88 Tralee, County Kerry, Ireland)
- Daniel Riordan
(IMaR Research Centre, Munster Technological University, V92 CX88 Tralee, County Kerry, Ireland)
Abstract
Publicly available electricity datasets from operational industrial facilities remain limited due to instrumentation cost, retrofit complexity, and data governance constraints. This paper presents an openly accessible dataset of asset-level electrical energy measurements collected from a medium-scale industrial manufacturing facility over an approximately one-year observation window, with staged commissioning resulting in heterogeneous temporal coverage. The dataset includes time-series measurements from production machinery, auxiliary systems, and distribution-level assets instrumented using a heterogeneous fleet of Ethernet and RS-485 energy meters integrated via industrial gateways and programmable logic controllers. Measurements were acquired via a SCADA-based logging infrastructure and exported from an operational SQL historian. The publicly released dataset comprises fixed 15 min aggregated energy and power metrics derived from high-frequency SCADA telemetry. In its released ALL-phase representation, the dataset comprises measurements from 43 monitored assets and 1,039,873 15 min windows, corresponding to 2.96 GWh of measured electrical energy. Mean window-level data coverage is 99.99%, and 97.72% of ALL-phase windows satisfy the dataset’s reliability criterion. Interval records include energy consumption, demand, data coverage metrics, and reliability indicators. The dataset reflects real-world industrial monitoring conditions, including mixed communication pathways and irregular sampling behaviour, and is intended to support research in industrial energy analytics, data quality assessment, load profiling, and operational energy modelling.
Suggested Citation
Christopher Flynn & Trevor Murphy & Joseph Walsh & Daniel Riordan, 2026.
"An Open Industrial Energy Dataset with Asset-Level Measurements and High-Coverage 15-Minute Aggregates from a Manufacturing Facility,"
Data, MDPI, vol. 11(5), pages 1-23, May.
Handle:
RePEc:gam:jdataj:v:11:y:2026:i:5:p:101-:d:1934083
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