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Token-based Scheduling
Learning-based Token Scheduling
Optimal Scheduling
An IoT Compliant Model Identification
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Publications

Journal Papers

  1. C. Jiang, Z. Chen, R. Su, M. K. Masood, and Y. C. Soh, Bayesian filtering for building occupancy estimation from carbon dioxide concentration， Energy and Buildings, vol. 206, 109566, 2019.

  2. C. Jiang, Z. Chen, R. Su, and Y. C. Soh, Group greedy method for sensor placement, IEEE Transactions on Signal Processing, vol. 67, no. 9, 2249-2262, 2019.

  3. Radhakrishnan, N., Srinivasan, S., Su, R., Poolla, K., (2017). Learning based hierarchical distributed HVAC scheduling with operational constraints. IEEE Transactions on Control Systems Technology, accepted, June 2017.

  4. Radhakrishnan, N., Su, Y., Su, R., Poolla, K., (2016). Token based scheduling for energy management in building HVAC systems. Applied Energy, vol. 173, pp. 67-79.

  5. Png, E., Srinivasan, S., Bekiroglu, K., Chaoyang, J., Su, R., & Poolla, K. (2019). An internet of things upgrade for smart and scalable heating, ventilation and air-conditioning control in commercial buildings. Applied Energy, 239, 408-424.

Conference

  1. Jiang, C., Chen, Z., Png, L. C., Bekiroglu, K., Srinivasan, S., & Su, R. (2018, November). Building Occupancy Detection from Carbon-dioxide and Motion Sensors. In 2018 15th International Conference on Control, Automation, Robotics and Vision (ICARCV) (pp. 931-936). IEEE.

  2. Bekiroglu, K., Srinivasan, S., Su, R., & Poolla, K. (2019, June). A Scalable Contract Based Approach for Integrating Building Flexibility to Energy Grids. In 2019 18th European Control Conference (ECC) (pp. 2394-2399). IEEE.

  3. Bekiroglu, K., Srinivasan, S., Su, R., Lagoa, C., & Poolla, K. (2018, August). Recursive Parsimonious System Identification Algorithm for Dynamical Systems. In 2018 IEEE Conference on Control Technology and Applications (CCTA) (pp. 1520-1525). IEEE.

  4. Bekiroglu, K., Duru, O., Srinivasan, S., Su, R., Lagoa, C., & Li, J. (2018, June). Governing Dynamics of Crude Oil and LNG Prices. In 2018 IEEE 14th International Conference on Control and Automation (ICCA) (pp. 872-877). IEEE.

  5. K. Bekiroglu, S. Srinivasan, L. C. Png, R. Su, K. Poolla. (2017). An internet of things compliant model identification methodology for smart buildings. 56th IEEE Conference on Decision and Control, Melbourne, accepted, July 2017.

  6. N. Radhakrishnan, Y. Su, R. Su, K. Poolla. (2015). Token based scheduling of HVAC services in commercial buildings. 2015 American Control Conference, pp. 262-269, Chicago.

  7. N. Radhakrishnan, R. Su, K. Poolla. (2014). Optimal scheduling of HVAC operations with non-preemptive air distributions for precooling. In Proc. 2014 American Control Conference, pp. 2253-2260, Portland.

Under Review

  1. K. Bekiroglu, Sriniviasan, S., Png, E, R. Su and Lagoa, C., Recursive Approximation of Local Behaviours with Imperfect Data, Submitted to IEEE/CAA Automatica Sinica.

  2. L. C. Png, S. Srinivasan, K. Bekiroglu, C. Jiang, R. Su, and K. Poolla. "An IoT Upgrade for Smart and Scalable HVAC Control in Commercial Buildings, Applied Energy, Sep 2018.

  3. L. C. Png, S. Srinivasan, K. Bekiroglu, R. Su, and K. Poolla. “Economical IoT Upgrade for Scalable HVAC Control.” Submitted to IEEE Internet of Things Journal 2017.

  4. K. Bekiroglu, O. Duru, E. Gulay, R. Su, and C. Lagoa. “Predictive analytics of crude oil prices by utilizing the intelligent model search engine (IMSE).” Submitted to Applied Energy – Elsevier, 2018.

Under Preparation

  1. H. Ranganathan, S. Srinivasan, K. Bekiroglu and R. Su. “Optimal scheduling of production operations with flexible loads and energy devices in smart factories.” 2018 IEEE Conference on Control Technology and Applications.