{"id":10,"date":"2014-12-16T09:44:27","date_gmt":"2014-12-16T17:44:27","guid":{"rendered":"http:\/\/research.engineering.ucdavis.edu\/prl\/?page_id=10"},"modified":"2017-01-30T13:56:36","modified_gmt":"2017-01-30T21:56:36","slug":"publications","status":"publish","type":"page","link":"https:\/\/research.engineering.ucdavis.edu\/pse\/publications\/","title":{"rendered":"Publications"},"content":{"rendered":"

Recent Journal Papers<\/strong><\/h3>\n
    \n
  1. Gajjar, S., M. Kulahci, A. Palazoglu, \u201cSelection of Non-zero Loadings In Sparse Principal Component Analysis,\u201d Chemometrics and Intelligent Laboratory Systems<\/em>, accepted (2017).<\/li>\n
  2. Wang, X., N.H. El-Farra, A. Palazoglu, \u201cOptimal Scheduling of Demand Responsive Industrial Production with Hybrid Renewable Energy Systems,\u201d Renewable Energy<\/em>, 100, 53-64 (2017).<\/li>\n
  3. Gao, H., Gajjar, S., M. Kulahci, A. Palazoglu, \u201cProcess Knowledge Discovery Using Sparse Principal Component Analysis,\u201d Ind. & Eng. Chemistry Research<\/em>, 55, 12046-12059 (2016).<\/li>\n
  4. Tong, C., A. Palazoglu, \u201cDissimilarity-Based Fault Diagnosis through Ensemble Filtering of Informative Variables,\u201d Ind. & Eng. Chemistry Research<\/em>, 55, 8774\u22128783 (2016).<\/li>\n
  5. Gajjar, S., A. Palazoglu, \u201cA Data-Driven Multidimensional Visualization Technique for Process Fault Detection and Diagnosis,\u201d Chemometrics and Intelligent Laboratory Systems<\/em>, 154, 122-136 (2016).<\/li>\n
  6. Tong, C., A. Palazoglu, N.H. El-Farra, X. Yan, \u201cEnergy Demand Management for Process Systems Through Production Scheduling and Control,\u201d AIChE J<\/em>., 61(11), 3756\u20133769 (2015).<\/li>\n
  7. Wang, X., A. Palazoglu, N.H. El-Farra, \u201cOperational Optimization and Demand Response of Hybrid Renewable Energy Systems,\u201d Applied Energy<\/em>, 214, 324-335 (2015).<\/li>\n
  8. Wang, X., N.H. El-Farra, A. Palazoglu, \u201cProactive Reconfiguration of Heat-Exchanger Super Networks,\u201d Ind. & Eng. Chemistry Research<\/em>, 54, 9178\u22129190 (2015).<\/li>\n
  9. Sun, W., A. Palazoglu, A. Singh, H. Zhang, Q. Wang, Z. Zhao, D. Cao, \u201cPrediction of Surface Ozone Episodes Using Clusters Based Generalized Linear Mixed Effects Models in Houston-Galveston-Brazoria Area, Texas,\u201d Atmospheric Pollution Research<\/em>,\u00a06, 245-253 (2015).<\/li>\n
  10. Chen, Q., Z. Chen, W. Sun, G. Yang, A. Palazoglu, \u201cA New Structuring Element for Multi-scale Morphology Analysis and its Application in Rolling Element Bearing Fault Diagnosis,\u201d J. Vibration and Control,<\/em>\u00a021(4), 765-789, (2015).<\/li>\n
  11. Wang, X., H. Teichgraber, A. Palazoglu N.H. El-Farra, \u201cAn Economic Receding Horizon Optimization Approach for Energy Management in the Chlor-Alkali Process with Hybrid Renewable Energy Generation,\u201d J. Process Control<\/em>, 24, 1318-1327 (2014).<\/li>\n
  12. Tong, C., A. Palazoglu, X. Yan, \u201cImproved ICA for Process Monitoring Based on Ensemble Learning and Bayesian Inference,\u201d Chemometrics and Intelligent Laboratory Systems<\/em>, 135, 141-149 (2014).<\/li>\n
  13. Tong, C., A. Palazoglu, N.H. El-Farra, X. Yan, \u201cFault Detection and Isolation in Hybrid Process Systems Using a Combined Data-driven and Observer-design Methodology,\u201d AIChE J.<\/em>,60(8), 2805-2814 (2014).<\/li>\n
  14. Zhang, H., A. Palazoglu, W. Sun, Z. Zhao, S. Liu, “Prediction of Surface Ozone Exceedance Days Using PCA with Non-parametric T2 Control Limit,” Chemometrics and Intelligent Laboratory Systems<\/em>, 133, 42-48 (2014).<\/li>\n
  15. Tong, C., A. Palazoglu, X. Yan, “An Adaptive Multimode Process Monitoring Strategy Based on Mode Clustering and Mode Unfolding,” J. Process Control<\/em>, 23, 1497-1507 (2013).<\/li>\n<\/ol>\n

    Books<\/strong><\/h3>\n