An Open Platform for Predicting Energy Performance of Buildings: Accelerating Energy Code Adoption
Start Date: Not Started
Duration: 4 Years
This interdisciplinary research project aims to develop a robust, reliable, and adaptive tool capable of generating accurate, project-specific electricity load profile forecasts. This tool will support future revisions to electrical codes and technical standards related to building and community electrical load calculations, and will mitigate constraints imposed by the electrical infrastructure on the development of high-performance, energy-efficient communities, thereby accelerating the adoption and implementation of the highest feasible energy performance tiers of the national building and energy codes.
research team
funding sources
NSERC NRCan
industry partners
Doug Terry Homes, Landmark Homes
cic research focus areas
Artificial IntelligenceDecision Support SystemsDesign and PlanningEnergySustainability and the EnvironmentSystems and Data Integration
research keywords
Artificial IntelligenceEnergy ConsumptionEnergy Load ForecastingHigh-Performance Energy CodesModelingResidential Energy System

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