Artificial intelligence
For wind power in Jordan, AI turns uncertain weather into bankable output. Models built on mast, lidar and satellite data predict a site's yield before a turbine is bought, forecast generation hours ahead for NEPCO and steer each turbine out of its neighbours' wake. In operation, AI reads vibration and temperature data to catch gearbox and blade faults weeks before they stop a machine.
What can be built
- Yield prediction. Models that turn short measurement campaigns and satellite data into bankable energy estimates for Jordanian highland sites.
- Wake steering. Software that angles turbines to cut the wake losses between them and raise a farm's total output.
- Predictive maintenance. Vibration and temperature analytics that schedule repairs before a gearbox, bearing or blade fails.
- Hybrid dispatch. One controller for wind, solar and batteries at the same site, so a hybrid plant delivers steady power to the grid or an electrolyser.





