Addis AbabaEthiopia found 1,698 km of high-priority wind corridor.
A machine-learning Random Forest model identified North Shewa as optimal, interpolating sparse meteorological stations, the Nature study found.
North Shewa hosts a 250 MW project in Ethiopia’s government pipeline, confirming the model’s output, the authors said.
Sources: Nature
THE MEASUREMENT PROBLEM
Wind speed varies sharply with terrain, altitude, and season. A site 5 km from a measurement mast can have 30% different annual yield. Africa has roughly one weather station per 26,000 km² — eight times sparser than the WMO standard.
WHY GIS MULTI-CRITERIA
Site selection layers exclusion masks (protected areas, slopes >20%, settlements, distance to grid) over resource maps. What a Random Forest adds: it learns which combinations of elevation, roughness, and reanalysis variables predicted the sparse ground measurements, then fills the gaps.
THE ETHIOPIAN HIGHLANDS
The Great Rift Valley channels southwesterly monsoon flow up against the western escarpment. North Shewa sits at 2,500–3,000 m on this escarpment — high altitude means thinner air (lower density) but the wind speeds more than compensate.
THE GRID CONSTRAINT
Ethiopia's installed capacity is roughly 5.4 GW, over 90% hydro. Wind is the obvious complement — it peaks in the dry season exactly when reservoirs draw down. But evacuating 250 MW from highland sites needs transmission that doesn't yet exist at scale.
WHY RANDOM FOREST
Random Forests average hundreds of decision trees, each trained on a random subset of features and data points. The architecture handles non-linear interactions (wind × terrain × roughness) without assuming a functional form, and degrades gracefully when input stations are sparse — the right tool for African meteorology.
THE GERD CONTEXT
The Grand Ethiopian Renaissance Dam, fully filled in 2024, gave Ethiopia surplus generation capacity for the first time. Wind diversifies the grid against drought risk and unlocks export potential — Ethiopia already sells power to Djibouti, Sudan, and Kenya through the Eastern Africa Power Pool.