Precision in Solar Modeling.
Stochastic Power Analysis.

We replace deterministic guesswork with advanced stochastic PV software to predict accurate real-world renewable energy performance for households and energy communities.

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Collective Self-Consumption

Energy is more efficient when shared. Our platform manages the complex flow of energy from a shared generation source to multiple households (Energy Communities).

We integrate both Thermal and Electrical Storage solutions to ensure excess energy is captured and deployed exactly when the community needs it most.

Community Grid Shared Solar Smart Distribution
Shared Array
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Home A
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Home B
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Home C

Optimized Multi-Point Distribution

Beyond Deterministic Models

Traditional energy forecasting assumes static variables. But nature isn't static.

Verlantis utilizes probabilistic algorithms to account for the unpredictability of weather patterns and consumption behaviors. By analyzing thousands of potential scenarios, our PV software provides a confidence range that reflects reality, not just an ideal use-case.

  • Real-time weather variance integration
  • Behavioral consumption pattern matching
  • Risk-assessed ROI calculations

Probabilistic Forecast

P90 Expected Yield P10

Gaussian Distribution & Confidence Intervals

Research & Innovation

Built on rigorous academic research at FEUP and preparing for the future of energy in Portugal and Europe.

Emerging Technologies

Integration with next-generation PV panels and advanced storage media.

In Development