📖 SolarTFT Documentation

🌞 1. Project Vision

SolarTFT is an experimental forecasting tool focused on solar energy predictions for arid climates. This beta version uses AI models trained on 20 years data from sun-rich, low-humidity regions to help solar farms optimize energy planning. Your feedback will guide improvements.

🚀 2. Key Features

🧠 Arid Climate Specialization

The model is optimized for dust-prone, high-sun regions, capturing patterns unique to desert environments. Early accuracy varies—your input will refine predictions.

🌍 Beta Testing Scope

While designed for arid climates, the model can be tested in other regions. Accuracy may vary—report discrepancies to help us improve.

📊 Data Approach

Trained on multi-year solar and weather data from arid zones. We prioritize transparency—ask us about training specifics.

⏳ 3. Forecasting Capabilities

Currently supports 1-24 hour predictions for arid regions. Longer horizons will be added based on user needs.

🔧 4. Use Cases

• 🌵 Desert Solar Farms: Test day-ahead energy planning in dusty environments.
• 🔬 Energy Researchers: Explore forecasting models for arid regions.
• 🔌 Utilities in Dry Climates: Pilot integration into grid management systems.