Publications

Pourali, M., & Mosleh, A. (2022). A bayesian methodology for power plant online system health monitoring. Nuclear Science and Engineering.

Parhizkar, T., Utne, I. B., & Vinnem, J. E. (2022). Online Probabilistic Risk Assessment of Complex Marine Systems. Springer Series in Reliability Engineering.

Nejad, H. S., Parhizkar, T., & Mosleh, A. (2022). Automatic generation of event sequence diagrams for guiding simulation based dynamic probabilistic risk assessment (SIMPRA) of complex systems. Reliability Engineering & System Safety, 222, 108416.

Parhizkar, T., Rafieipour, E., & Parhizkar, A. (2021). Evaluation and improvement of energy consumption prediction models using principal component analysis based feature reduction. Journal of Cleaner Production, 279, 123866.

Parhizkar, T., Aramoun, F., & Saboohi, Y. (2020). Efficient health monitoring of buildings using failure modes and effects analysis case study: Air handling unit system. Journal of Building Engineering, 29, 101113.

Correa-Jullian, C., Droguett, E. L., & Cardemil, J. M. (2020). Operation scheduling in a solar thermal system: A reinforcement learning-based framework. Applied energy, 268, 114943.

Correa-Jullian, C., Cardemil, J. M., Droguett, E. L., & Behzad, M. (2020). Assessment of deep learning techniques for prognosis of solar thermal systems. Renewable Energy, 145, 2178-2191.

Sotoodeh, A. F., Parhizkar, T., Mehrgoo, M., Ghazi, M., & Amidpour, M. (2019). Aging based design and operation optimization of organic rankine cycle systems. Energy Conversion and Management, 199, 111892

Parhizkar, T., Aramoun, F., Esbati, S., & Saboohi, Y. (2019). Efficient performance monitoring of building central heating system using Bayesian Network method. Journal of Building Engineering, 26, 100835.

Li, Y., & Mosleh, A. (2019). Dynamic simulation of knowledge based reasoning of nuclear power plant operator in accident conditions: Modeling and simulation foundations. Safety Science, 119, 315-329.

Chang, Y. S., & Mosleh, A. (2019). Probabilistic model of degradation of cable insulations in nuclear power plants. Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability, 233(5), 803-814.

Parhizkar, T., & Hafeznezami, S. (2018). Degradation based operational optimization model to improve the productivity of energy systems, case study: Solid oxide fuel cell stacks. Energy Conversion and Management, 158, 81-91.

Parhizkar, T. (2018). Long-Term Degradation-Based Modeling and Optimization Framework. In Handbook of Research on Predictive Modeling and Optimization Methods in Science and Engineering (pp. 192-220). IGI Global.

Parhizkar, T., Balali, S., & Mosleh, A. (2018). An entropy based bayesian network framework for system health monitoring. Entropy, 20(6), 416.

Parhizkar, T., Mosleh, A., & Roshandel, R. (2017). Aging based optimal scheduling framework for power plants using equivalent operating hour approach. Applied energy, 205, 1345-1363.

Parhizkar, T., & Roshandel, R. (2017). Long term performance degradation analysis and optimization of anode supported solid oxide fuel cell stacks. Energy Conversion and Management, 133, 20-30.

Roshandel, R., & Parhizkar, T. (2016). Degradation based optimization framework for long term applications of energy systems, case study: solid oxide fuel cell stacks. Energy, 107, 172-181.