Farzeen Rizvi
- (2024): A neural network-based surrogate model to predict building features from heating and cooling load signatures. In: Journal of Building Performance Simulation, v. 17, n. 5 (20 Juli 2024).
- (2023): Minimum sensor grid density and configuration to enable CO2-based demand-controlled ventilation in an office building. In: Energy and Buildings, v. 298 (November 2023).
- (2023): How Building Energy Use Reacted to Variable Occupancy Pre- and Post- COVID-19 Pandemic—Sensitivity Analysis of 35 Commercial Buildings in Canada. In: Buildings, v. 13, n. 9 (23 August 2023).
- (2023): An inquiry into the effect of thermal energy meter density and configuration on load disaggregation accuracy. In: Science and Technology for the Built Environment, v. 29, n. 4 (März 2023).
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