Myto / Case studies
Problem. System. Intelligence. Outcome.
Every case study we publish follows the same structure, with numbers that were measured rather than modelled, and the measurement method stated.
No case studies are published yetThe framework
How we document a deployment.
Problem
What was costing money, capacity or reliability, stated in the operator's terms.
Energy system
Assets, capacities, constraints, tariffs and contracts. The real configuration.
Myto intelligence
Which control modes ran, how long in shadow mode, and what changed in the decisions.
Outcome
Measured result against a stated baseline, with the measurement method described.
Case study template
What every published case study will contain.
If a field cannot be filled with real data, the case study is not published.
Site and configurationSegment, connection, assets and ratings. Customer named only with written permission.Required
Baseline and methodThe period compared against, what Myto controlled, and how each number was measured.Required
Outcomes and verificationMeasured results, who checked them, and what did not work.Required
Operator viewA quote, only with permission.Optional
Evaluating Myto
Start with your own data.
The fastest way to judge an intelligence layer is to run it against a system you already understand.
- Share historical generation, load, tariff and asset data
- We run the optimiser in shadow mode and reconstruct what it would have decided
- You compare that against what actually happened
- The difference is the case for going further, or not