Teja Kuruganti
- Dynamic model-based feature extraction for fault detection and diagnosis of a supermarket refrigeration system†. Dans: Science and Technology for the Built Environment, v. 29, n. 10 (octobre 2023). (2023):
- Development of a simplified calibrated building simulation model of a supermarket for proposed ECMs and control strategies impact evaluation. Dans: Building Services Engineering Research and Technology, v. 44, n. 1 (novembre 2022). (2022):
- Automated fault detection and diagnosis deployment Internet of Things solution for building energy system. Dans: Journal of Building Engineering, v. 61 (décembre 2022). (2022):
- COVID-19 pandemic ramifications on residential Smart homes energy use load profiles. Dans: Energy and Buildings, v. 259 (mars 2022). (2022):
- (2021): Deep Reinforcement Learning for Autonomous Water Heater Control. Dans: Buildings, v. 11, n. 11 (8 novembre 2021).
- Virtual storage capability of residential buildings for sustainable smart city via model-based predictive control. Dans: Sustainable Cities and Society, v. 64 (janvier 2021). (2021):
- Cost-effective retrofit technology for reducing peak power demand in small and medium commercial buildings. Dans: Science and Technology for the Built Environment, v. 21, n. 6 (août 2015). (2015):
- A modeling framework for optimal energy management of a residential building. Dans: Energy and Buildings, v. 130 (octobre 2016). (2016):
- Aggregation and data driven identification of building thermal dynamic model and unmeasured disturbance. Dans: Energy and Buildings, v. 231 (janvier 2021). (2021):
- A novel occupancy detection solution using low-power IR-FPA based wireless occupancy sensor. Dans: Energy and Buildings, v. 192 (juin 2019). (2019):