<dc:title>Multi-Day Electricity Price Forecasting Dataset: Actual Exogenous Forecasts</dc:title>
<dc:creator>primary price data from ENTSO-E Transparency Platform  ; exogenous  variables from  ned.nl  (solar, wind, load, import/export) and  nl.investing.com  (API2 coal, TTF gas prices)</dc:creator>
<dc:subject>battery scheduling; household energy; dynamic price; smart grid; probabilistic  optimisation</dc:subject>
<dc:description>Dataset combining household electricity demand profiles, dynamic price signals (from NED / ENTSO-E), and battery state-of-charge time series; generated to support risk-based scheduling model development. Results published in HELORS 2025 proceedings</dc:description>
<dc:publisher>FORTH-ICS and EUR</dc:publisher>
<dc:date>2025-10-15</dc:date>
<dc:type>Dataset</dc:type>
<dc:format>text/csv</dc:format>
<dc:identifier>10.5281/zenodo.18790980</dc:identifier>
<dc:language>eng</dc:language>
<dc:relation>isReferencedBy: 10.5281/zenodo.18788613</dc:relation>
<dc:coverage>start=2023-10-07; end=2025-10-03</dc:coverage>
<dc:rights>Open access; no restrictions upon release</dc:rights>