ENDEMO-Europe: Dataset for European long-term cross-sectoral energy demand modelling

Energy demand models require a wide range of data to adequately characterize energy use across regions and consumption sectors, and to account for historical developments. The dataset we provide can serve as input for energy system modelling tools, such as the URBS model generator for cost optimization [1] and the ENDEMO framework for energy demand estimation and analysis [2, 3]. ENDEMO-Europe dataset provides processed and harmonized variables for energy demand modelling at national and NUTS 2 (county-level) scales across Europe, covering the EU-27 (excluding Cyprus and Malta), EFTA countries, the United Kingdom, and the Balkan peninsula. It spans four final consumption sectors: industry, households, commercial, trade and services (CTS), and transport. The dataset integrates raw statistics with derived indicators, for example by combining energy per carrier, combustion efficiency, and employment data to calculate specific energy consumption per employee. Industry data include production quantities of energy-intensive subsectors, their NUTS 2 distribution, and specific energy requirements by technology, while non-energy-intensive branches are represented through GDP allocation. Household data cover floor area, hot water use, and specific energy consumption per m² or per capita; CTS data include employees per subsector and specific energy per employee; and transport data provide passenger- and tonne-kilometres, modal split, rail electrification rate, and consumption per person- or ton-kilometre. Energy demand is distinguished by application type (heat, hydrogen, electricity), with both yearly and hourly profiles available for modelling and integrated systems analysis. Keywords: useful energy demand; analysis; forecasting; timeseries; electricity; heat; hydrogen References: [1] J. Dorfner et al., tum-ens/urbs: Zenodo, 2019. Accessed: Nov. 11 2025. [2] A. Kerekeš, L. Breuning and A. Epishev, endemo, 2025. Accessed: Dec. 3 2025. [Online]. Available: https://github.com/tum-ens/endemo [3] L. Breuning and A. Kerekeš, “endemo – Energy Demand Modeling for Europe,” in Energy Sciences for Europe’s Green Deal: 11th Colloquium of the Munich School of Engineering, Garching bei München, 2021. Accessed: Dec. 3 2025. [Online]. Available: https://mediatum.ub.tum.de/doc/1631566/0zjz35nd6rdatc8xb3cq5xkyx.pdf