VTT

Multi-energy and multi-market energy system optimisation

Predicer (Predictive Decider) is a modeling tool for optimizing energy production and market participation. It is designed to manage the complexities of modern energy portfolios, specifically focusing on the simultaneous allocation of assets across electricity spot and reserve markets.

VTT

SiteOpt

Local energy optimization

The SiteOpt tool analyses future options of integrated energy systems in a local site with several energy vectors and several actors. The tool can represent different kinds of energy networks (e.g., power grid, heating and cooling grids, gas grids). It can perform optimal dimensioning of the system, reducing investment and operational costs as well as CO2 emissions.

CORE

An end-to-end predictive maintenance platform

COREbeat is a solution that turns real-time data into predictive insights, identifying early signs of equipment failure before they impact operations. The system provides visualization and alerts to support maintenance planning and improve equipment reliability.

NORCE

ERiSS

Energy Risk: Security of Supply (formerly ERMSS)

ERiSS is a software for assessing an energy system's ability to meet required demand in the event of disruptive risk scenarios. The tool uses stochastic uncertainty modelling to simulate energy flow, demand and failure scenarios, and their possible impact on end users — useful in the planning stages of projects for risk assessment and dimensioning of contingency measures.

Electricity Maps

Electricity Maps API

Real-time and forecasted carbon intensity data

The Electricity Maps API provides real-time, historical, and forecasted carbon intensity and electricity mix data for 190+ countries and regions worldwide. It enables businesses and developers to understand the carbon footprint of electricity consumption at any given time and location, and to make data-driven decisions that reduce emissions from electricity use.

ENFOR

SolarFor

Solar power forecasting

SolarFor™ is a software solution for solar power forecasting, delivering highly accurate predictions of solar power production for horizons ranging from a few minutes ahead up to a couple of weeks. It is flexible and has a long track record of accurate forecasts, applicable both on individual portfolios and on a country-wide scale.

ENFOR

LoadFor

Electricity load forecasting

LoadFor™ is a software solution for forecasting electricity load (demand). It is a self-learning, self-calibrating system based on machine learning that uses weather forecasts and historical demand data to automatically produce accurate electricity load forecasts — applicable on an individual portfolio basis and on a country-wide scale.

TECNALIA

Digital tools to unlock flexibility from energy resources

FLEXY integrates optimization and prediction tools (based on AI and advanced optimization algorithms) to maximize the value of flexibility. It forecasts market prices, renewable production and consumption, and combines this with market bidding strategies and innovative pricing schemes to optimally operate distributed energy resources.