EnergyExe AS
EnergyExe is a commercial intelligence platform for wind farm operators, investors, and insurers that quantifies hidden revenue losses in wind assets. It combines public data, satellite wind measurements, and machine learning to separate weather effects from operational and market performance gaps, pricing the recoverable value in euros and megawatt-hours. The platform runs continuously across onshore and offshore wind farms without requiring manual inputs or operator-reported data.
- Artificial Intelligence
- Data & Analytics
- Clean Technology
- Energy
- Software Only
Funding
Founders
Product
Problem
Wind farm performance is often masked by weather variability, making it difficult to distinguish genuine operational issues from natural fluctuations in wind conditions. This ambiguity hides substantial revenue leakage, as operational and market losses can strip double digits off achievable revenue once the wind effect is removed. Without wind-normalized analysis, asset owners struggle to identify underperformance and prioritize remediation efforts effectively.
Solution
EnergyExe provides a commercial performance layer for wind assets that quantifies the recoverable value hidden in every wind farm, starting from public data and proprietary intelligence. The platform continuously captures power generation, satellite wind data, prices, and asset specifications, then applies machine-learning models to predict what each asset should have produced and earned from the wind that actually blew. This creates a wind-normalized benchmark against which every performance gap is measured, splitting the recoverable gap across operational, market, and wind causes, and pricing it in both euros and megawatt-hours. The platform generates AI-driven action plans with diagnostic checks that score each asset as Confirmed, Indicative, or On Watch, providing ranked remediation priorities and answering user queries about asset performance.
Target Audience
Primary customers are wind farm operators and asset managers, investors and lenders, and insurance and reinsurance companies who need continuous performance benchmarking, value leakage quantification, and wind-normalized analysis to identify and address underperformance across their portfolios.
Features
- Continuous portfolio monitoring with monthly tracking of capture rate, capture price, and market revenue per asset
- Machine-learning models that predict expected production and earnings based on actual wind conditions, creating a wind-normalized benchmark
- Automatic splitting of the recoverable value gap across operational, market, and wind causes, priced in EUR and MWh
- AI-generated action plans with diagnostic checks scoring assets as Confirmed, Indicative, or On Watch, including ranked remediation priorities
- No manual inputs or operator-reported data required, relying instead on public data and proprietary intelligence
- Peer benchmarking capabilities for portfolio-wide comparison and outlier identification