Business challenge
Central-case forecasts can hide downside exposure and make it hard to compare dispatch or storage assumptions.
Forecasting · Risk analysis
Forecasting and downside-risk analysis
Allowing forecast assumptions, scenario ranges and downside cases to be compared before decisions are made.
Project story
From unclear workflow to usable decision support.
This is an anonymised capability example. Client names, confidential outputs and unsupported impact metrics are not published.
Why the existing process was difficult
Renewable energy and storage planning settings where generation, prices, curtailment and dispatch choices are uncertain.
Data and constraints
Representative renewable generation, price scenarios, forecast horizons, storage assumptions and risk-preference inputs. Prototype only. Not live grid-control software, not trading software and not production dispatch automation.
What SSS Techs built
Use quantile-style forecasting, rolling calibration checks, scenario comparison, CVaR-style diagnostics and storage optionality analysis.
Validation and quality controls
Compare forecast intervals, downside cases and scenario outputs against baselines and sensitivity tests before any operational use.
Result or decision enabled
Makes downside risk, dispatch assumptions and storage trade-offs easier to inspect before larger engineering decisions.
Relevant consulting route
Need a similar analytical workflow for your organisation?
SSS Techs can scope the data, model, validation and reporting work needed to support your decision process.
Consultation
Discuss a difficult dataset, model or decision process.
SSS Techs can review your data, clarify the decision workflow, and recommend a practical route through investigation, validation, prototyping, dashboarding or implementation support.