Omid Ardakanian 
- (2023): Efficacy of temporal and spatial abstraction for training accurate machine learning models: A case study in smart thermostats. In: Energy and Buildings, v. 296 (October 2023).
- (2023): Mitigating an adoption barrier of reinforcement learning-based control strategies in buildings. In: Energy and Buildings, v. 285 (April 2023).
- (2022): Addressing data inadequacy challenges in personal comfort models by combining pretrained comfort models. In: Energy and Buildings, v. 264 (June 2022).
- (2021): Identifying grey-box thermal models with Bayesian neural networks. In: Energy and Buildings, v. 238 (May 2021).
- (2018): Non-intrusive occupancy monitoring for energy conservation in commercial buildings. In: Energy and Buildings, v. 179 (November 2018).
- (2020): Current practices and infrastructure for open data based research on occupant-centric design and operation of buildings. In: Building and Environment, v. 177 (June 2020).
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