Amanda D. Smith 
- (2022): On-policy learning-based deep reinforcement learning assessment for building control efficiency and stability. In: Science and Technology for the Built Environment, v. 28, n. 9 (August 2022).
- (2020): Quantifying effects of the built environment on solar irradiance availability at building rooftops. In: Journal of Building Performance Simulation, v. 13, n. 2 (Januar 2020).
- (2020): Incorporating observed data into early design energy models for life cycle cost and carbon emissions analysis of campus buildings. In: Energy and Buildings, v. 224 (Oktober 2020).
- (2017): Predicting fuel consumption for commercial buildings with machine learning algorithms. In: Energy and Buildings, v. 152 (Oktober 2017).
- (2012): Evaluation of the potential emissions reductions from the use of CHP systems in different commercial buildings. In: Building and Environment, v. 53 (Juli 2012).
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