SolarIQ Solar Intelligence · KSA
3 AI models · on-device

AI-powered daily forecasting

Know your solar day
before the sun does.

Pick a city and a date. SolarIQ pulls the real weather & air quality, runs three trained models, and hands you the output forecast, tomorrow's dust risk, and science-backed recommendations — in seconds.

0.970output model R²
±0.28kWh mean error
91.4%dust-risk accuracy
81%output-level accuracy
5Saudi cities

Riyadh — Today

Live conditions · Open-Meteo

Clear Sky
0.00 kWh / day

Predicted Output

— of this city's recorded peak

Model 1A · Random Forest · MAE 0.284 kWh · R² 0.970 · runs in your browser

Production Level

—

Model 3 · weather + air quality · 81.0% accuracy

Tomorrow's Air Quality

—

Model 2B XGBoost · 91.4% accuracy · numeric AQI from Model 2A (R² 0.776)

Conditions used by the models

Operations Recommendations

Scientific Evidence

retrieve → rank → cite

Searching the literature…

Ask SolarIQ

parse → retrieve → predict → ground

Ask in plain English. SolarIQ reads the city, panel and mount from your question, pulls that day's live conditions, runs Model 1A, and grounds the answer in its knowledge base.

SolarIQ · trained on merged KSA weather, air-quality & solar generation datasets · live weather by Open-Meteo