Forecasted and Residual Electricity Consumption Dataset (Quarter-Hourly) – Germany (2015–2026)

Abstract:
This dataset contains quarter-hourly forecasted electricity consumption and forecasted residual load data for Germany covering the period from 1 January 2015 to 3 February 2026. The data represent day-ahead total load forecasts calculated by Transmission System Operators (TSOs) in accordance with Commission Regulation (EU) No 543/2013 and published via the ENTSO-E Transparency Platform and the SMARD Electricity Market Data Platform.

Forecasted consumption is derived using empirical historical load profiles, meteorological inputs, and socio-economic factors. The forecasted residual load is computed as total forecasted consumption minus forecasted feed-in from photovoltaic, onshore wind, and offshore wind generation.

The dataset is provided in CSV format at quarter-hour resolution and merged into a single ZIP archive for structured access. All values are expressed in MWh per quarter hour as published on SMARD.

The dataset is suitable for research in short-term load forecasting, renewable integration analysis, residual load modeling, smart grid analytics, energy market studies, and AI-based energy demand prediction.

The data are distributed under the Creative Commons Attribution 4.0 International (CC BY 4.0) license.

Description
Quarter-hourly day-ahead forecasted electricity consumption and residual load data for Germany from 2015 to 2026. Data were obtained from the SMARD Electricity Market Data Platform and ENTSO-E Transparency Platform. The dataset includes total forecasted load and forecasted residual load derived by subtracting renewable feed-in (PV, onshore wind, offshore wind) from total forecasted consumption.

Data Format
CSV (compressed as ZIP archive)

Temporal Coverage
01 January 2015 – 03 February 2026

Spatial Coverage
Country: Germany

Resolution
Quarter-hour (15 minutes)

License
Creative Commons Attribution 4.0 International (CC BY 4.0)