ELEXIA Toolkit
Tools & software factsheets
Eight optimisation, forecasting and monitoring tools developed across the ELEXIA pilots. Select a tool to read more details about it or download its factsheet.
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.
Main benefit
Optimisation of energy production and market participation 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.
Main benefit
Supports the planning and optimization of existing energy systems when integrating new technologies, users or grids — reducing installation and integration costs.
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.
Main benefit
Product monitoring and predictive maintenance that improve operations and 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.
Main benefit
Scenario planning and risk analysis that support reliability assessment and contingency planning.
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.
Main benefit
Forecasting and real-time automation that support forward-looking operational planning.
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.
Main benefit
Highly accurate, flexible forecasting applicable from individual portfolios up to 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.
Main benefit
Self-learning forecasts that stay accurate as demand patterns and conditions change.
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.
Main benefit
Optimal bidding strategies across day-ahead, intraday and mFRR markets, and flexibility management that lowers prosumers’ energy bills.