Big Data Applications in Chemical Engineering | AIChE

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Big Data Applications in Chemical Engineering

Chair(s)

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

Co-chair(s)

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

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.

Presentations

3:15 PM
Break
3:35 PM
(714b) Development of a Real-Time Monitoring System of Abnormal Fire Incidents Based On the Mining of National Fire, Disaster and Meteorological Data
3:55 PM
(714c) Comparison of Different Variable Selection Methods for PLS Soft Sensor Development
4:15 PM
(714d) Development of An Efficient Variable Selection Methodology for Calibration Model Design
4:35 PM
(714e) Independent Component Analysis Mixture Model Based Dissimilarity Method for Performance Monitoring of Non-Gaussian Multimode Dynamic Processes
4:55 PM
(714f) Joint Probability and Correlation Analysis of Wind and Solar Power Forecast Errors in the Western Interconnection
5:15 PM
(714g) The Open Symbiotic Data Repository: A Data-Driven Perspective for Industrial Symbiosis

Topics 

Plant Operations

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Pricing

Individuals

AIChE Pro Members $150.00
AIChE Graduate Student Members Free
AIChE Undergraduate Student Members Free
AIChE Explorer Members $225.00
Non-Members $225.00

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