OptiEPTM
Energy Production and Trading Management
The AI Energy Management platform that turns data into operational and strategic decisions.
Business problem
The energy sector today demands fast, informed decisions to manage increasingly complex plants, in a context of volatile markets and ever more challenging sustainability targets.
OptiEPTM is the AI Energy Management platform that turns data into operational and strategic decisions. Using proprietary models and algorithms, it enables intelligent decisions at every level of the process, from performance monitoring and day-to-day management to tactical and strategic planning.
Our solution
One environment, many intelligent modules
- Operational module (monitoring, forecasting, daily optimisation): it analyses field data, market signals and weather data to automatically produce the daily plan, optimising economic performance.
- Budget module (tactical and strategic planning): it generates annual scenarios to support budgeting processes and investment analysis.
- Monitoring module: it automates data flows to capture, analyse and check the system’s performance indicators.
- Trading module: it optimises plant management by integrating the logic of the electricity markets: from the day-ahead market to intraday auctions, XBID and ancillary services..
- Strategic investment module: it models multi-year investment plans and identifies the optimal decarbonisation pathway.
How it works
It gathers data from different sources (plants, weather, energy markets) and processes it with proprietary algorithms to provide optimal production plans, with process automation that keeps manual intervention to a minimum.
- Available as a cloud solution (SaaS) or on-premise if requested
- It integrates easily with existing business systems.
- Average setup: 2–4 weeks.
Benefits
- Up to +20% plant operating margin.
- –90% planning time.
- <6 months project payback.
- Greater capacity for fast, accurate decisions in uncertain contexts.
- A Knowledge Hub where you can collect all your plant’s


