2013 AIChE Annual Meeting

Session: Big Data Applications in Chemical Engineering

Chemical Engineering has entered the Big Data era in which large-scale data collection systems result in great opportunities for knowledge discovery. In this session, reports on real-life applications in this Big Data context are solicited for.

Chair

Hodge, B. M. S., National Renewable Energy Laboratory

Co-Chairs

Hailemariam, L. M., The Dow Chemical Company
Villez, K., Eawag

Presentations

03:35 PM

(714b) Development of a Real-Time Monitoring System of Abnormal Fire Incidents Based On the Mining of National Fire, Disaster and Meteorological Data
Shin, D. P., Joo, K., Kang, H., Ahn, S.

03:55 PM

(714c) Comparison of Different Variable Selection Methods for PLS Soft Sensor Development
Wang, Z. X., Wang, J., He, Q. P.

04:15 PM

(714d) Development of An Efficient Variable Selection Methodology for Calibration Model Design
Fujiwara, K., Kano, M.

04:35 PM

(714e) Independent Component Analysis Mixture Model Based Dissimilarity Method for Performance Monitoring of Non-Gaussian Multimode Dynamic Processes
Yu, J., Chen, J.

04:55 PM

(714f) Joint Probability and Correlation Analysis of Wind and Solar Power Forecast Errors in the Western Interconnection
Hodge, B. M. S., Florita, A., Zhang, J.

05:15 PM

(714g) The Open Symbiotic Data Repository: A Data-Driven Perspective for Industrial Symbiosis
Korkofigkas, A.