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Selected applications

Applied analytics.
Real decisions.

Explore how SSS Techs investigates difficult data, validates important models, automates recurring analysis and turns complex findings into usable decision-support tools.

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The examples below include anonymised applied work and representative analytical patterns. They show the types of problems, methods and outputs SSS Techs can deliver without disclosing confidential client information.

Building performance overview

JanMarMayJulSepNov

Building performance and heating diagnostics

Problem

Operational teams struggle to distinguish genuine inefficiency from weather effects, occupancy changes and normal variation.

What we built

Time-series diagnostics combining energy, temperature and occupancy-related signals with operational context.

What it enabled

A clearer basis for prioritising buildings or periods requiring investigation.

Delivered

Diagnostic model - Performance indicators - Management-ready reporting

StatusAnonymised applied work
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Model validation overview

Model AModel BModel CModel DCalculationData integritySensitivityEdge cases

Model and dashboard validation

Problem

Important dashboards and models may influence decisions without sufficient evidence that calculations, assumptions and validation logic are reliable.

What we built

A structured audit workflow covering reproducibility, baseline comparison, sensitivity analysis, edge cases and output review.

What it enabled

A clear distinction between trusted outputs, identified weaknesses and required remediation.

Delivered

Independent audit - Validation evidence - Remediation recommendations

StatusReusable consultancy methodology
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Automated reporting workflow

IngestValidateAnalyseGenerateDeliver0102030405CompletenessConsistencyAnomaliesReconciliation

Automated analytical reporting

Problem

Recurring reporting often depends on manual exports, spreadsheets and disconnected calculations.

What we built

A controlled workflow connecting data ingestion, validation, analysis and structured report generation.

What it enabled

A more repeatable and reviewable route from source data to stakeholder-ready output.

Delivered

Automated workflow - Quality checks - Reporting outputs - Documentation

StatusApplied workflow pattern
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Scenario analysis - downside risk

P10 outcomeP50 outcomeDownside VaRRisk-adjusted-18%Base case-24%+11%

Forecasting, risk and optimisation

Problem

Single forecasts can hide uncertainty, downside exposure and important operational trade-offs.

What we built

Scenario-based forecasting and risk analysis combining forecast ranges, assumptions, constraints and comparative decision indicators.

What it enabled

More transparent comparison of possible outcomes before commercial or operational commitments.

Delivered

Forecast ranges - Scenario analysis - Risk indicators - Optimisation support

StatusApplied modelling capability
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Commercial products

Looking for a reusable renewable-energy platform?

GridEdge and GridRisk apply selected forecasting, revenue and decision-risk methods through commercial analytical products.

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Open-source work

Inspect our public technical work

Explore open-source applications, quantitative modelling and scientific-computing projects that demonstrate our approach to reproducibility, validation and analytical engineering.

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Have a difficult dataset, model or recurring analytical process?

We can help determine whether it requires investigation, validation, automation, a prototype or a custom analytical build.

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