Forecast with precision
Start your energy flexibility analysis using just utility data — and project costs, performance, and emissions with confidence.
Forecasts and projections
Request a demoDynamic projection curves for financial & engineering foresight
Quantify the impact of changing conditions over time using user-defined projection curves. Model inflation, energy prices, equipment costs, and more — year-on-year, scenario-by-scenario.
Finance
Model financial outcomes across best, likely, and worst-case scenarios.
- Forecast energy costs, inflation, and discount rates.
- Evaluate lifecycle costs for equipment and operations.
- Quantify emissions reductions for sustainability and carbon credit schemes.
- Run sensitivity analysis across key financial inputs.
Engineering
Stress test engineering assumptions and uncover hidden risks.
- Model full equipment lifecycle costs and replacement timelines.
- Simulate degradation, downtime, and maintenance impacts.
- Analyze power quality issues — such as voltage dips or harmonics — that affect production and asset performance.
- Calculate maximum demand per rolling window and interval to assess demand reduction potential.
- Assess the materiality of energy-saving measures under changing external conditions.
Forecast the impact of rising energy costs
Use projection curves to simulate future price scenarios and their bottom-line impact.
- The wholesale price projection
- Create custom electricity price curves and apply them to building-level data.
- Forecast costs across best, likely, and worst-case scenarios.
- Understand the financial risk of inaction — and plan strategies to mitigate rising costs, improve flexibility, and reduce emissions.
- Adjust forecast inputs
- Modify projections using a wide range of financial and engineering parameters.
- Adjust variables like energy prices, inflation, capital costs, operational expenses, implementation timelines, and equipment lifecycles to evaluate different strategies.
- Model changing conditions over time
- Apply projection curves to assumptions like CPI, equipment degradation, or maintenance schedules.
- Accurately model how costs and performance evolve — and test resilience under dynamic conditions.
- The wholesale price projection
- Create custom electricity price curves and apply them to building-level data.
- Forecast costs across best, likely, and worst-case scenarios.
- Understand the financial risk of inaction — and plan strategies to mitigate rising costs, improve flexibility, and reduce emissions.
- Adjust forecast inputs
- Modify projections using a wide range of financial and engineering parameters.
- Adjust variables like energy prices, inflation, capital costs, operational expenses, implementation timelines, and equipment lifecycles to evaluate different strategies.
- Model changing conditions over time
- Apply projection curves to assumptions like CPI, equipment degradation, or maintenance schedules.
- Accurately model how costs and performance evolve — and test resilience under dynamic conditions.
