Data in the Wild: Wrangling and Visualising Data
Skills Gained
Energy Demand Forecasting and Surplus Analysis Across Nordic Regions
Energy Market Analysis
Statistical Modeling & Regression
Time-Series & Panel Data Analysis
Data Integration
Data Visualization
Statistical Modeling & Regression
Time-Series & Panel Data Analysis
Data Integration
Data Visualization
2025
This project analyzed when and why electricity surplus occurs across Nordic bidding zones and how it affects short-term electricity market outcomes. Using an integrated hourly dataset for 2023–2024 combining ENTSO-E market data, system operator records, balancing data, and ERA5 weather information, we examined surplus drivers across Denmark, Norway, Sweden, and Finland. Statistical analysis included descriptive comparisons of surplus vs. non-surplus periods, correlation analysis, and zone-level logistic regression models. Results show that surplus is largely wind-driven and increasingly frequent, causing rapid price collapse, higher balancing interventions, and operational stress when export capacity becomes constrained.
This project analyzed when and why electricity surplus occurs across Nordic bidding zones and how it affects short-term electricity market outcomes. Using an integrated hourly dataset for 2023–2024 combining ENTSO-E market data, system operator records, balancing data, and ERA5 weather information, we examined surplus drivers across Denmark, Norway, Sweden, and Finland. Statistical analysis included descriptive comparisons of surplus vs. non-surplus periods, correlation analysis, and zone-level logistic regression models. Results show that surplus is largely wind-driven and increasingly frequent, causing rapid price collapse, higher balancing interventions, and operational stress when export capacity becomes constrained.