Adequacy
Resource adequacy and reserve margin studies
Test whether a power system can meet demand reliably, and set reserve requirements grounded in its own demand, generation mix and constraints.
- Questions
- Is there enough firm capacity in the coming years? How much reserve is enough? How does adequacy shift across growth and mix scenarios?
- Outputs
- Adequacy metrics by scenario, reserve margin recommendations, a documented assumptions record.
Planning
Least-cost capacity expansion
Screen and compare generation, storage and transmission additions over the long term with linear-programming optimisation.
- Questions
- Which mix of solar, wind, storage and conventional capacity meets demand at least cost? How sensitive is the plan to fuel prices, demand growth or policy targets?
- Outputs
- Expansion pathways, cost and capacity comparisons, sensitivity analysis.
Integration
Renewable integration and curtailment
Understand how much renewable output a grid can absorb, and what limits it.
- Questions
- Where and when will curtailment occur? What does it cost? Which mitigations (storage, flexibility, transmission, operating practice) are worth it?
- Outputs
- Curtailment estimates, their drivers, ranked mitigation options.
Storage · RTC
Storage and round-the-clock renewable studies
Model generation, storage and demand together to test hybrid and round-the-clock supply configurations.
- Questions
- What storage size and duration make sense? Can a portfolio meet peak obligations and renewable purchase obligations across bid scenarios?
- Outputs
- Configuration comparisons and supply-profile results to support tender and bid decisions.
Operations
Unit commitment and economic dispatch
Mixed-integer modelling of short-term operations, merit-order dispatch and scheduling.
- Questions
- How should units be committed and dispatched under operating constraints? How does the merit order change with conditions?
- Outputs
- Dispatch schedules, cost results, operating-constraint insights.
Forecasting
Demand forecasting
Machine-learning forecasts built from historical demand data and engineered input features.
- Questions
- What will demand look like over the short, medium and long term, and how uncertain is that outlook?
- Outputs
- Forecast series with documented features, data preparation and accuracy checks.