Srinivas Katipamula 
- (2023): Rooftop unit comparison calculator: a framework for comparing performance of rooftop units with building energy simulation. In: Journal of Building Performance Simulation, v. 17, n. 3 (Oktober 2023).
- (2023): An open-source framework for simulation-based testing of buildings control strategies. In: Journal of Building Performance Simulation, v. 16, n. 6 (April 2023).
- (2022): Simulation-based assessment on stochastic load scheduling for building cooling systems. In: Science and Technology for the Built Environment, v. 29, n. 2 (Dezember 2022).
- (2023): Dilated causal convolutional neural networks for forecasting zone airflow to estimate short-term energy consumption. In: Energy and Buildings, v. 286 (Mai 2023).
- (2023): An experimental study on round-trip efficiency of a preheating control with a medium office building. In: Energy and Buildings, v. 278 (Januar 2023).
- (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).
- (2021): Prevalence of typical operational problems and energy savings opportunities in U.S. commercial buildings. In: Energy and Buildings, v. 253 (Dezember 2021).
- (2021): Experimental Investigation on Thermal Inertia Characterization of Commercial Buildings for Demand Response. In: Energy and Buildings, v. 252 (Dezember 2021).
- (2017): Optimizing Control of Dedicated Outdoor Air Systems with Energy Recovery in Commercial Buildings. In: Journal of Energy Engineering, v. 143, n. 1 (Februar 2017).
- (2020): Application of intelligent load control to manage building loads to support rapid growth of distributed renewable generation. In: Sustainable Cities and Society, v. 53 (Februar 2020).
- (2015): Energy savings modelling of re-tuning energy conservation measures in large office buildings. In: Journal of Building Performance Simulation, v. 8, n. 6 (November 2015).
- (2018): Evaluation of regression and neural network models for solar forecasting over different short-term horizons. In: Science and Technology for the Built Environment, v. 24, n. 9 (Oktober 2018).
- (2018): Evaluation of scenario-specific modeling approaches to predict plane of array solar irradiation. In: Science and Technology for the Built Environment, v. 24, n. 7 (August 2018).
- (2017): A review of fault detection and diagnostics methods for building systems. In: Science and Technology for the Built Environment, v. 24, n. 1 (Oktober 2017).
- (2017): An open-source automated continuous condition-based maintenance platform for commercial buildings. In: Science and Technology for the Built Environment, v. 23, n. 4 (März 2017).
- (2016): Transactional network: Improving efficiency and enabling grid services for buildings. In: Science and Technology for the Built Environment, v. 22, n. 6 (August 2016).
- (1992): A part load factor for a heat pump derived from laboratory measurements. In: Energy and Buildings, v. 19, n. 2 ( 1992).
- (2013): Energy savings and economics of advanced control strategies for packaged air conditioners with gas heat. In: Energy and Buildings, v. 65 (Oktober 2013).
- (2017): Development and validation of an intelligent load control algorithm. In: Energy and Buildings, v. 135 (Januar 2017).
- (2020): Sequence-to-sequence neural networks for short-term electrical load forecasting in commercial office buildings. In: Energy and Buildings, v. 226 (November 2020).
- (2019): Development and evaluation of HVAC operation schedule detection algorithm. In: Energy and Buildings, v. 202 (November 2019).
- (2019): Energy performance evaluation of variable-speed packaged rooftop units using field measurements and building energy simulation. In: Energy and Buildings, v. 183 (Januar 2019).
- (2017): Improving HVAC operational efficiency in small-and medium-size commercial buildings. In: Building and Environment, v. 120 (August 2017).
Structurae kooperiert mit
