Genfex · Energy applications

Modelling &OptimisationSolutions

  • MILP
  • Machine learning
  • Statistical methods

We develop mathematical modelling and optimisation solutions, with a focus on energy applications. Solutions employ techniques like MILP, machine learning, and statistical methods to address various challenges across industries.

Selected Applications

Explore applications
01

Trading Optimisation

Leverages market forecasts and analytics to optimise market bidding, price volatility management, and optimal generation and battery (storage) scheduling for increased revenue.

02

Electricity Aggregation

Optimise energy purchase, sale, and portfolio allocation with dynamic decision frameworks accounting for complex tariff and balancing dynamics, load profiles, and risk metrics.

03

Grid Management

Addresses grid stability, line constraints, infrastructure planning, and distributed resources through comprehensive optimisation solutions.

04

Transport & Logistics

Optimises routing, scheduling, and delivery networks to reduce cost and improve operational efficiency.

05

Risk Modelling

Applies probabilistic modelling and scenario analysis to account for market fluctuations, demand variability, and operational uncertainties, ensuring resilient decision-making.

06

Process Flowsheet Optimisation

Evaluates multiple production pathways, minimises costs, and improves throughput for complex chemical or industrial processes.