Subbu Sethuvenkatraman 
- (2024): A novel rule mining method for knowledge discovery of relationships among indoor air quality, HVAC operation and occupants’ activities. In: Building and Environment, v. 260 (July 2024).
- (2024): A study on price responsive energy flexibility of an office building under cooling dominated climatic conditions. In: Energy and Buildings, v. 316 (August 2024).
- (2023): A new clustering method with an ensemble of weighted distance metrics to discover daily patterns of indoor air quality. In: Journal of Building Engineering, v. 76 (October 2023).
- (2023): A Systematic Comparison and Evaluation of Building Ontologies for Deploying Data-Driven Analytics in Smart Buildings. In: Energy and Buildings, v. 292 (August 2023).
- (2023): Deploying data driven applications in smart buildings: Overcoming the initial onboarding barrier using machine learning. In: Energy and Buildings, v. 279 (January 2023).
- (2022): A data-driven approach based on quantile regression forest to forecast cooling load for commercial buildings. In: Sustainable Cities and Society, v. 76 (January 2022).
- (2020): Air-conditioning demand response resource assessment for Australia. In: Science and Technology for the Built Environment, v. 26, n. 8 (July 2020).
- (2019): Model predictive control of a high efficiency solar thermal cooling system with thermal storage. In: Energy and Buildings, v. 196 (August 2019).
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