β‘ Energy Simulations Platform
ML-powered tools for energy price prediction, production forecasting, battery simulation, and solar analysis
Typical Workflow
Follow these steps to go from raw data to actionable energy insights.
Data
2 toolsModels
3 toolsModel Training
Train machine learning models for energy price and production prediction with hyperparameter tuning.
Predictions
Make single or batch predictions using trained models. Upload CSV files for batch processing or input values manually.
Model Comparison
Compare trained models side by side. Analyze metrics, feature importance, and identify the best performer.
Analysis
4 toolsBattery Simulation
Simulate battery storage systems. Run basic simulations, optimize parameters, and perform Monte Carlo risk analysis.
Solar Analysis
Complete solar toolkit: interactive geographic map and self-sufficiency calculator for energy independence.
Weather Impact
Analyze how weather patterns affect solar production. Temperature sensitivity and cloud impact on performance.
Simulation History
Save and retrieve past simulations. Review parameters, compare results, and re-run configurations.