aceAI-driven whole-life costing for decision-ready UK public building retrofits
Abstract Public-sector building retrofits in the United Kingdom require decisions that balance whole-life cost, carbon reduction, service continuity and auditability under limited data and constrained capital budgets. This paper develops a decision-ready whole-life costing (WLC) workflow that integrates environmental, social and governance (ESG) priorities with uncertainty-aware artificial intelligence (AI) for public-building retrofit appraisal. The workflow combines national non-domestic Energy Performance Cer…
A reinforcement learning planner paired with an uncertainty-aware surrogate model produced auditable retrofit sequences, scored better on composite ESG performance than conventional baselines, and searched decisions far faster in matched test cases.
Validation so far uses only public datasets and scenario-level evidence, not project-specific metered data or live deployment, so real-world performance is unproven.
Evidence
- Peer-reviewedComplex & Intelligent Systems2026-10-16
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Truvace Impact Record TRV-2026-1729, v1: “AI-driven whole-life costing for decision-ready UK public building retrofits.” Truvace, 2026-10-17. /record/TRV-2026-1729 (accessed at citation time). sha256 c460bed524e4ac57…
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