We replace deterministic guesswork with advanced stochastic modeling to predict accurate real-world renewable energy performance for households.
Energy is more efficient when shared. Our platform manages the complex flow of energy from a shared generation source to multiple households.
We integrate both Thermal and Electrical Storage solutions to ensure excess energy is captured and deployed exactly when the community needs it most.
Real-time Multi-point Distribution
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 tool provides a confidence range that reflects reality, not just an ideal use-case.
Gaussian Distribution & Confidence Intervals
Built on rigorous academic research and preparing for the future.