Artificial intelligence
For solar power in Jordan, AI turns a fleet of plants and rooftops into one forecastable resource. Models predict output from satellite and weather data, size batteries for each bid and dispatch them against time-of-use tariffs. During development, AI ranks state land by sunlight, grid capacity and slope, and drafts the studies and tender responses that used to take months, so a developer can bid on more projects with the same team.
What can be built
- Bid engine. Software that sizes solar and storage, models tariffs and drafts the financial model for each Jordanian tender in days.
- Fleet control. One platform that forecasts and dispatches utility plants, rooftops and batteries across the grid as a single virtual power plant.
- Fault finder. Computer vision that reads drone and satellite images of thousands of panels and flags soiling, cracks and hot spots.
- Site atlas. A national map ranking land for solar by sunlight, slope, grid access and water, open to developers and planners.






