
hyperGrid is a provenance-first web platform for exploring SYNTH_GRID_IE, a weather-driven, hourly synthetic dataset of Irish building and data-centre electricity demand covering 2022–2023. The dataset (build "run8") comprises 437,529,982 hourly rows across 25,006 modelled buildings, a synthetic national reference series, synthetic wind and solar farm registers, a feeder-hour sample, and a synthetic nowcast ensemble spanning the 26 Republic of Ireland counties. hyperGrid provides the read-only serving layer for this dataset: a dark-themed dashboard and a JSON read API over small, pre-aggregated rollup tables, so the 437-million-row time series is never queried per request. Its distinguishing feature is that the dataset's honesty and labelling rules are first-class user-interface elements — every figure carries its provenance class (REAL, CALIBRATED, SYNTHETIC, or COMPUTED), a scope qualifier (totals cover modelled building and data-centre sectors, approximately 88% of national demand), and the build context (global_seed 20240101), so synthetic or calibrated values can never be mistaken for measured EirGrid data. Views include a system overview, sector breakdown, a national time-series explorer, a county choropleth map, a buildings drill-down, feeder-stress sample, a nowcast fan, and a consolidated data-provenance page. The platform is built in PHP (server-rendered pages plus a JSON read API), with vanilla JavaScript, Chart.js, and Leaflet on the client, packaged with Docker. Display-shaped rollups are produced offline by a DuckDB bridge over a Backblaze B2 Parquet lake and served from MariaDB. Developed by the Energy Informatics Group (EIG), International Energy Research Centre, Tyndall National Institute, University College Cork.
data visualisation, hyperGrid, data provenance, synthetic data, data centres, renewable energy, demand modelling, energy informatics, digital twin, SYNTH_GRID_IE, smart grid, Ireland, electricity demand
data visualisation, hyperGrid, data provenance, synthetic data, data centres, renewable energy, demand modelling, energy informatics, digital twin, SYNTH_GRID_IE, smart grid, Ireland, electricity demand
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