Services

Engagements are structured around decision problems, not generic analytics packages, with production model implementations built in GAMS and CPLEX.

Portfolio Dispatch Across Interconnected Assets

Typical situation: Operators need coordinated dispatch across plants, storage, and interconnectors under changing demand and market signals.
Deliverables: Network-constrained dispatch model, nodal sensitivity analysis, and operator handover documentation.
Data required: Network topology, transfer limits, unit constraints, load forecasts, and market price trajectories.
Typical engagement: 4-8 weeks from diagnostics to pilot-grade dispatch workflow.

Typical situation: Generation portfolios with mixed renewable and thermal assets face volatile prices, unit constraints, and emissions targets.
Deliverables: Unit commitment and dispatch optimization model (implemented with GAMS and CPLEX), scenario engine, and operator-facing scheduling outputs.
Data required: Asset characteristics, ramp/start-stop constraints, fuel and variable costs, demand profiles, and carbon factors.
Typical engagement: 6-12 weeks from model design to production-ready scheduling workflow.

Typical situation: Reserve margins are maintained conservatively, increasing variable cost and curtailment risk.
Deliverables: Capacity planning model, reserve policy scenarios, and actionable operating recommendations.
Data required: Demand and renewable forecasts, outage assumptions, reserve requirements, and asset availability.
Typical engagement: 3-6 week planning optimization projects.

Typical situation: Fuel spreads, carbon prices, and renewable volatility create uncertainty in dispatch decisions.
Deliverables: Scenario engine for cost and emissions trade-offs, decision memo templates, and KPI framework built on GAMS and CPLEX model implementations.
Data required: Fuel and carbon price assumptions, bid strategy inputs, technical limits, and compliance constraints.
Typical engagement: 2-4 week scoping with optional ongoing advisory.