Ojas Pradhan PhD | Data Science for Buildings

Journals

A hardware-in-the-loop (HIL) testbed for cyber-physical energy systems in smart commercial buildings
Guowen Li, Zhiyao Yang, Yangyang Fu, Zheng O’Neill, Lingyu Ren, Ojas Pradhan, Jin Wen
Science and Technology for the Built Environment, 2024

A Review of Data-Driven Fault Detection and Diagnostics for Building HVAC Systems
Zhelun Chen, Zheng O'Neill, Jin Wen, Ojas Pradhan, Tao Yang, Xing Lu, Guanjing Lin, Shohei Miyata, Seungjae Lee, Chou Shen, Roberto Chiosa, Marco Savino Piscitelli, Alfonso Capozzoli, Franz Hengel, Alexander Kührer, Marco Pritoni, Wei Liu, John Clauß, Yimin Chen, Terry Herr
Applied Energy, 2023

Using Discrete Bayesian Networks for Diagnosing and Isolating Cross-level Faults in HVAC Systems
Yimin Chen, Jin Wen, Ojas Pradhan, James Lo and Teresa Wu
Applied Energy, 2022

Eigen-Entropy: A Metric on Multi-variate Sampling Decision
Jiajing Huang, Hyunsoo Yoon, Teresa Wu, K. Selçuk Candan, Ojas Pradhan, Jin Wen and Zheng O'Neill
Information Sciences, 2022

A Cosine-based Correlation Information Entropy Approach for Building Automatic Fault Detection Baseline Construction
Jiajing Huang, Hyunsoo Yoon, Ojas Pradhan, Teresa Wu, Jin Wen, Zheng O'Neill and K. Selçuk Candan
Science and Technology for the Built Environment, 2022

Real vs. Simulated: questions on the capability of simulated datasets on building fault detection for energy efficiency from a data-driven perspective
Jiajing Huang, Jin Wen, Hyunsoo Yoon, Ojas Pradhan, Teresa Wu, Zheng O'Neill and K. Selçuk Candan
Energy and Buildings, 2022


Conference Proceedings

CYDRES: CYber Defense and REsilient System for securing grid-interactive efficient buildings
Guowen Li, Zheng O'Neill, Jin Wen, Ojas Pradhan, Lingyu Ren, Teresa Wu, Veronica Adetola, K Selcuk Candan, Qi Zhu
In Proceedings of the 10th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation (pp. 307–309). November 15-16, 2023.

Dynamic Bayesian Network for Fault Prognosis
Ojas Pradhan, Jin Wen, Mengyuan Chu, Zheng O'Neill
In Proceedings of the 10th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation (pp. 296–297). November 15-16, 2023.

Lagged-kNN Based Data Imputation Approach for Multi-Stream Building Systems Data
Ojas Pradhan, David Hälleberg, Zhelun Chen, Jin Wen, Teresa Wu, K. Selçuk Candan and Zheng O'Neill
7th International High-Performance Buildings Conference at Purdue. July 11-14, 2022.

Dynamic Bayesian Network-based Fault Diagnosis for ASHRAE Guideline 36: High Performance Sequence of Operation for HVAC Systems
Ojas Pradhan, Jin Wen, Yimin Chen, Xing Lu, Mengyuan Chu, Yangyang Fu, Zheng O'Neill, Teresa Wu and K. Selçuk Candan
In Proceedings of the 8th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation (pp. 365-368). November 17-18, 2021.

Automatic Fault Detection Baseline Construction for Building HVAC Systems using Joint Entropy and Enthalpy
Jiajing Huang, Teresa Wu, Hyunsoo Yoon, Ojas Pradhan, Jin Wen and Zheng O'Neill
In Proceedings of 2021 IISE Annual Conference (pp.536-541). May 22-25, 2021. (Best Paper Award - Finalist)

Dynamic Bayesian Network for Fault Diagnosis
Ojas Pradhan, Jin Wen, Yimin Chen, Teresa Wu and Zheng O'Neill
2021 ASHRAE Virtual Conference. June 28-30, 2021.

Development and Validation of a Simulation Testbed for the Intelligent Building Agents Laboratory (IBAL) using TRNSYS
Ojas Pradhan, Amanda Pertzborn, Liang Zhang and Jin Wen
2020 ASHRAE Virtual Conference. June 29 - July 1, 2020.

Bayesian Networks for Whole Building Level Fault Diagnosis and Isolation
Yimin Chen, Jin Wen, Taiyu Chen and Ojas Pradhan
5th International High-Performance Buildings Conference at Purdue. July 9-12, 2018.


Thesis

A Dynamic Bayesian Network Framework for Data-Driven Fault Diagnosis and Prognosis of Smart Building Systems
Drexel University
June 2023


Others

Data-Driven Smart Buildings: State-of-the-Art Review
International Energy Agency (IEA), Annex 81
September 2023