Spatial analysis for renewables
Sites and profitability of wind farms, PV and linear infrastructure
| Years | 2023–2026 |
|---|---|
| Category | GIS, energy |
| Technology | Python (QGIS, ezdxf, laspy, plotly, scipy, sktime, skforecast), web API |
Automated analysis for renewable energy projects: wind turbines, solar farms and linear infrastructure. Parametric geometry is generated from real-time and historical data (solar radiation, weather, energy prices) and used to estimate the future monthly profitability of an investment.