- Development and validation of intelligent load control for VRF air-conditioning system with deep learning based load forecasting. In: Journal of Building Engineering, v. 98 (Dezember 2024). (2024):
- Prevalence of typical operational problems and energy savings opportunities in U.S. commercial buildings. In: Energy and Buildings, v. 253 (Dezember 2021). (2021):
- (2021): Development and Validation of Building Control Algorithm Energy Management. In: Buildings, v. 11, n. 3 (27 Februar 2021).
- 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). (2020):
- 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):
- Development and validation of an intelligent load control algorithm. In: Energy and Buildings, v. 135 (Januar 2017). (2017):
- Development, implementation, and evaluation of a fault detection and diagnostics system based on integrated virtual sensors and fault impact models. In: Energy and Buildings, v. 228 (Dezember 2020). (2020):
- Sequence-to-sequence neural networks for short-term electrical load forecasting in commercial office buildings. In: Energy and Buildings, v. 226 (November 2020). (2020):
- Development and evaluation of HVAC operation schedule detection algorithm. In: Energy and Buildings, v. 202 (November 2019). (2019):
- Improving HVAC operational efficiency in small-and medium-size commercial buildings. In: Building and Environment, v. 120 (August 2017). (2017):
- On determination of the preventive maintenance interval guaranteeing system availability under a periodic maintenance policy. In: Structure and Infrastructure Engineering, v. 7, n. 4 (April 2011). (2011):
- Automated point mapping for building control systems: Recent advances and future research needs. In: Automation in Construction, v. 85 (Januar 2018). (2018):