Omni Energy

Omnienergy develops energy prediction solutions by integrating Artificial Intelligence with human expertise for the renewables market. Their platform, Orchestra, uses a meta-model to dynamically weigh outputs from underlying models for optimal wind and photovoltaic production forecasts. This service significantly improves energy production estimates for Intraday Markets (MI) and Day-Ahead Markets (MGP), helping operators reduce imbalance charges.

Updated 2 months ago

Funding

Funding not disclosed

Funding rounds are not available yet.

Founders

Founder details are not available yet.

Product

Problem

Renewable energy operators and market participants rely on production forecasts that often exhibit high error rates, leading to costly imbalance charges and suboptimal trading decisions in Intraday (MI) and Day‑Ahead (DAM) markets.

Solution

Omnienergy delivers Orchestra, an AI‑driven forecasting platform that fuses a meta‑model (“Orchestra Conductor”) with a suite of specialized sub‑models (“musicians”) covering meteorological, autoregressive, and proprietary deep‑learning approaches. The conductor dynamically weights each sub‑model in real time for every forecast horizon, producing highly accurate hourly production estimates up to 36 hours ahead. Forecasts are delivered via a secure web dashboard and a standards‑based REST API, enabling seamless integration with existing dispatch and trading systems. By reducing forecast error, the platform cuts imbalance charges by more than 20 % and accelerates revenue capture for wind and photovoltaic assets.

Features

Meta‑model architecture that continuously evaluates and re‑weights up to dozens of sub‑models based on real‑time performance metrics.
Hourly updated forecasts for Intraday (1‑12 h) and Day‑Ahead (up to 36 h) horizons, tailored to wind and solar plant characteristics.
Standardized RESTful API and intuitive graphical dashboard for programmatic access and visual analysis of production trends.
Rapid onboarding workflow: new plant integration typically completed within two weeks, with side‑by‑side operation alongside legacy forecasting tools during trial periods.
Performance monitoring suite reporting NMAE, RMSE, and MAPE, demonstrating error reductions of >50 % versus leading competitors.
Cloud‑native analytics pipeline with end‑to‑end encryption and role‑based access controls to ensure data security and compliance.
Scalable multi‑tenant infrastructure supporting simultaneous forecasting for large portfolios of assets.