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Demand forecasting, capacity planning, growth modeling, and scenario analysis. Driven by QNSPR predictive models and EASE evidence synthesis.
Forecast energy demand for the next 1-24 hours using historical patterns and workload schedules.
Plan capacity requirements for the next 1-12 months based on growth trends.
Strategic infrastructure planning for 1-5 year horizons including site expansion.
Predict peak demand periods and develop management strategies.
Model workload growth patterns to inform capacity planning.
Integrate energy price forecasts into operational planning.
Forecast grid carbon intensity for carbon-aware operations.
Stress test capacity under various failure and demand scenarios.
Plan integration of renewable energy sources into facility operations.
Plan and optimize battery storage deployment and operation.
Optimize participation in utility demand response programs.
Model energy impact of hardware refresh cycles.
Analyze energy factors for new site selection decisions.
Plan cooling capacity expansion to meet future demand.
Plan power distribution capacity for future growth.