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

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

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

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

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

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

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