SecurEnergy EU intelligence

EU Energy Security Data, Indicators and Scenario Analysis

Explore EU import exposure, supplier concentration, country-level ESS indicators and policy scenarios through a transparent research framework built from Eurostat and Comext evidence.

ReadyPublication readiness status
10/10Critical Eurostat inputs refreshed
3Scenario families
ComextRaw partner replication layer

Dashboard Suite

The website keeps the formula atlas in one place, then lets each dashboard focus on interpretation, validation, and evidence.

Policy Scenarios

ESS1-ESS4 forecasts, shocks, sensitivity, decomposition, forecast quality, and energy partners.

Explore scenarios

Multi-API ESS

Comext, World Bank, OECD, Wikipedia, and news-feature experiments against exact Eurostat targets.

View dashboard guide

Industrial Production

ESS1, ESS2, and ESS3 against EU industrial-production and sector paths.

View dashboard guide

Sold Production

Eurostat PRODCOM sold-production value, index, activity-group shares, and forecasts.

View dashboard guide

Macro Interaction

GDP, electricity prices, sold production, CPI, and inflation on a shared indexed view.

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GDP Trends

One comparison dashboard showing how nominal and real GDP trends diverge.

View dashboard guide

Method & Formula Atlas

This is the canonical formula section for the website. Dashboard pages refer back here instead of repeating the same formula panels at the beginning of each view.

ESS1 Oil Exposure

ESS1_oil = sum_i(TOI_i * TOC_i * TEC_i) / sum_i(TOC_i * TEC_i * GDP_i)

Leman Erdal; Ali Osman Pektaş; Omer Ozkan; Filiz Özkan; Security of energy supply in Japan: a key strategy and solutions; p.136-137. ESS1 is the energy import-dependency indicator. It represents the accessibility dimension of energy-supply security: a country is more secure when supply can continue and energy can be made ready for use, regardless of whether the source is domestic or foreign. This project applies that logic to the oil-import channel.

ESS1 Gas Exposure

ESS1_gas = sum_i(TGI_i * TGC_i * TEC_i) / sum_i(TGC_i * TEC_i * GDP_i)

Leman Erdal; Ali Osman Pektaş; Omer Ozkan; Filiz Özkan; Security of energy supply in Japan: a key strategy and solutions; p.136-137. ESS1 is an import-dependency ratio. This project applies the same accessibility logic to gas imports. The displayed ESS1 ensemble is the average of the oil and gas channels, used as a project-level fossil-import exposure signal.

ESS2 Industrial Energy Intensity

ESS2 = sum_i(IEC_i) / sum_i(GDP_i)

Leman Erdal; Ali Osman Pektaş; Omer Ozkan; Filiz Özkan; Security of energy supply in Japan: a key strategy and solutions; p.136-137. ESS2 is energy intensity, defined as energy use relative to GDP. It captures both accessibility and affordability because lower energy intensity reduces the energy required by the economy and can lower exposure to imported-energy needs. Lower values are therefore the stronger security direction.

ESS3 Domestic Production Ratio

ESS3 = sum_i(DEP_i) / sum_i(TEC_i)

Leman Erdal; Ali Osman Pektaş; Omer Ozkan; Filiz Özkan; Security of energy supply in Japan: a key strategy and solutions; p.136-137. ESS3 is the domestic production rate of energy. It measures the share of domestic energy production in total energy consumption and belongs to the accessibility dimension. Higher domestic production coverage improves supply security; falling values imply greater fragility if external supply is interrupted.

ESS4 Directional Security Index

Displayed ESS4 is normalized
ESS4_raw_formula = (ESS1_ensemble + ESS2 + ESS3) / 3 ESS4_index = mean(ESS1_ensemble_2015 / ESS1_ensemble * 100, ESS2_2015 / ESS2 * 100, ESS3 / ESS3_2015 * 100)
ESS1 and ESS2Lower is better, so the index uses the inverse ratio. ESS3Higher is better, so the index uses the direct ratio.

Important distinction: the raw paper average is retained as ESS4_raw_formula. The dashboard ESS4 value is the 2015 = 100 directional security index, so it can be much higher than the raw average.

Renewable Production Rates

T_REN_RATE = sum_i(T_REN_PROD_i) / sum_i(TEC_i) T_REN_RATE_2 = sum_i(T_REN_PROD_i) / sum_i(T_REN_C_i)

Renewable production relative to total energy demand and renewable consumption.

Conventional Dependency Benchmarks

OilDependency_conv = sum_i(TOI_i) / sum_i(TOC_i) GasDependency_conv = sum_i(TGI_i) / sum_i(TGC_i)

Direct import-to-consumption ratios used only as a benchmark against ESS channels.

Comext Partner Shares

share_pct = 100 * partner_value / total_product_value HHI = sum_j((share_pct_j / 100)^2) * 10000

Raw Comext product-partner evidence for import value, concentration, and supplier exposure.

Forecast Validation

MAPE = mean(abs(actual - forecast) / abs(actual)) direction_accuracy = mean(sign(delta_actual) = sign(delta_forecast))

Rolling-origin backtests evaluate whether forecast paths reproduce direction and scale before scenario overlays.

Read the public indicator guide and methodology and provenance page for definitions, source layers and interpretation guardrails.

Publication Readiness Issue Register

The latest reviewed rebuild is ready: Eurostat inputs refreshed, official API partner evidence rebuilt from live responses, raw Comext replication populated, and all generated readiness checks passing. External-news signals remain research-screening context rather than a live monitoring service.

Current Status

Ready. No blocking failures and no active publication warnings in the latest generated checks.

Resolved Limitations

The previous no-refresh and official API cache-fallback warnings were closed by the full live refresh.

Evidence Files

Formula, refresh, partner-source and forecast checks are regenerated with every publication build.

EU Energy-Security Research Topics

Crawlable research guides connect the interactive application to permanent explanations, country comparisons and evidence.

EU Member States

Review country-level ESS1, ESS2, ESS3 and renewable indicators against the EU27 reference.

Compare EU countries

Policy Scenarios

Read transparent baseline, IMEC and Piano Mattei scenario assumptions without treating them as predictions.

Review the scenarios

Source Hierarchy

The project separates exact target formulas, explanatory feature experiments, and partner-source replication layers.

Eurostat

Exact ESS formula backbone, industrial production, macro interaction, and validation targets.

Raw Comext

Preferred product-partner replication layer when the selected product scope matches the claim.

Official API

Reproducible annual quantity route for EU main energy partners and comparison views.

External Context

World Bank, OECD, Wikipedia, and screened news features enter as lagged explanatory signals only.

Contact

For research, licensing, deployment, or GDPR privacy requests, contact the project controller directly.

Controller

Jacopo Sala

Location

Vigevano, Italy