Our technology

Optimisation and AI,built around uncertainty.

Advanced optimisation and AI methods with explicit representations of uncertainty — operating at scale across energy carriers, geographic regions and decision timescales.

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01 · System modelling

Multi-energy, multi-scale system modelling

Electricity, heat, transport and other carriers in one integrated model — configurable up to pan-European scale, linking long-term strategic planning with short-term operational decisions.

  • Pan-European multi-energy model
  • Power, heat, hydrogen, oil & gas, CCS
  • Investment, retrofit and abandonment planning
All carriers in one integrated model
schematic topology
Uncertainty across multiple time horizons
Scenarios generated and evaluated across seasons, with trade-offs between cost, risk and system performance made comparable.
seasons
02 · Uncertainty

Uncertainty, modelled explicitly

Unlike deterministic planning tools, our models represent uncertainty directly within the optimisation problem — demand evolution, renewable generation, fuel prices, policy assumptions and technology costs.

Decisions are evaluated for robustness — not optimality under a single assumed future.

03 · Algorithms

Scalable optimisation and AI algorithms

Formulations and solution techniques chosen to balance computational tractability with modelling fidelity — enabling analysis at high spatial, temporal and technological resolution.

  • Proprietary EORC algorithms solve large-scale problems that are intractable for leading commercial solvers
  • Neural-network-enhanced optimisation algorithms
Rapid solution times
Gurobi
Cannot solve this large-scale problem
Gurobi + traditional algorithm
≈ 106 h
EORC
< 1 h
Hours
EORC's algorithm is 120 times faster than Gurobi + a traditional algorithm. Linear programming problem size: 1 billion variables and 4.5 billion constraints, ~1.5 TB RAM
Tractability beyond solver limits
Variables Constraints
Gurobi
549× smaller — not visible at this scale
EORC
Variables: ≈ 1 000 M
Constraints: ≈ 4 500 M
Million
EORC solves problem instances up to 549 times larger than those tractable with Gurobi.
04 · Scenarios

Scenario generation and evaluation

Scenarios derived from historical data, probabilistic forecasts or user-defined assumptions — compared across time horizons to quantify trade-offs between cost, risk and system performance.

  • Sampling-based short-term scenario generation
  • AI-integrated short-term scenario generation
  • Data-driven long-term scenario generation
05 · Platform

Built for analysts and decision-makers.

Data management, model configuration and results analysis in one place — transparent exploration of assumptions and outcomes.

Data analytics

  • Time series scenario generation
  • Long-term commodity, policy, and technology scenario generation
  • European energy system database

Algorithms

A toolbox of fast AI- and optimisation-based algorithms

Models

  • Long-term and short-term uncertainty
  • Integrated investment, retrofit and abandonment planning with operational scheduling
  • Pan-European multi-energy system: power, oil and natural gas, hydrogen
  • North Sea offshore system: offshore wind, O&G platforms, pipelines

Results analytics

  • Long-term power prices analytics
  • Energy infrastructure pathways analysis
  • Energy asset valuation
  • Uncertainty analytics

See your energy systemunder uncertainty.

Get a walkthrough of the EORC platform on a problem that looks like yours.