Project Solar

Custom AI development company Riyadh Saudi Arabia enterprise solutions

Sector

Recursive-built AI for energy and environmental application

Type

ML

AI Type

Custom Machine Learning Models (ML)

Project Delivered

2023

Case Study

recursiveai.co.jp

PHYSICS INSPIRED NEURAL NETWORKDATA PREPROCESSINGDATA ANALYSISHYBRID MODELSWEATHER MODELLING

AI-powered system for accurate solar energy forecasting and site optimization.

We developed a hybrid AI and physics-based model that predicts solar radiation and power output with up to 96% accuracy. It helps renewable energy providers optimize site selection, improve panel performance, and reduce investment risks.

AI for oil gas renewable energy sector Saudi Arabia Saudi Green Initiative

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"The combination of an engineering viewpoint and expertise in biophysics was a tremendous asset and a great source of reassurance."

Takeshi Kato

Chief Engineer Environment and Resources Division, Sumitomo Forestry