Data Science2025

Energy Demand Forecasting and Surplus Analysis Across Nordic Regions

Analyzed electricity surplus events and their effect on short-term market dynamics across Danish, Norwegian, Swedish, and Finnish bidding zones.

Methodology

Integrated hourly 2023–2024 data from ENTSO-E, system operators, and ERA5 weather records; applied descriptive statistics, correlation analysis, and zone-specific logistic regression.

Findings

Surplus is largely wind-driven and increasingly frequent, causing rapid price collapses and operational stress when export capacity is constrained.

Tools & Methods

Time-Series AnalysisLogistic RegressionPanel Data

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