References
Aris, Rutherford, ed. 1999. Mathematical Modeling: A Chemical
Engineer’s Perspective. Process Systems Engineering, v. 1. San
Diego: Academic Press.
Atwan, Tarek A. 2024. Time Series Analysis with Python
Cookbook: Practical Recipes for Exploratory Data Analysis, Data
Preparation, Forecasting, and Model Evaluation. Second edition.
Expert Insight. Birmingham: Packt Publishing.
Bagajewicz, Miguel J., Donald J. Chmielewski, and DuyQuang Nguyen Tanth.
2010. Smart Process Plants: Software and Hardware Solutions for
Accurate Data and Profitable Operations. New York: McGraw-Hill.
Box, George E. P., Gwilym M. Jenkins, and Gregory C. Reinsel. 2008.
Time Series Analysis: Forecasting and Control. Fourth edition.
Wiley Online Library. Hoboken, N.J: J. Wiley & Sons. https://doi.org/10.1002/9781118619193.
Brunton, Steven L., and J. Nathan Kutz. 2019. Data-Driven Science
and Engineering: Machine Learning, Dynamical Systems, and Control.
Cambridge New York, NY Port Melbourne New Delhi Singapore: Cambridge
University Press.
Chatfield, Chris, and Haipeng Xing. 2019. The Analysis
of Time Series: An Introduction with
R. 7th ed. Seventh edition. | Boca Raton, Florida :
CRC Press, [2019] |: Chapman and Hall/CRC. https://doi.org/10.1201/9781351259446.
Glassey, Jarka, and Moritz Von Stosch, eds. 2018. Hybrid
Modeling in Process Industries. First
edition. London: Taylor and Francis.
Guthrie, William F. 2020. “NIST/SEMATECH
e-Handbook of Statistical Methods (NIST
Handbook 151).” National Institute of Standards and
Technology. https://doi.org/10.18434/M32189.
Hangos, K. M., and Ian Cameron. 2001. Process Modelling and Model
Analysis. Process Systems Engineering, v. 4. San Diego: Academic
Press.
Kuhn, Max, and Kjell Johnson. 2021. Feature Engineering and
Selection: A Practical Approach for Predictive Models. First issued
in paperback. Chapman & Hall/CRC Data
Science Series. Boca Raton London New York: CRC Press, Taylor &
Francis Group.
Ljung, Lennart. 1999. System Identification: Theory for the
User. 2nd ed. Prentice Hall Information and System
Sciences Series. Upper Saddle River, NJ: Prentice Hall PTR.
Luyben, William L. 1990. Process Modeling, Simulation, and Control
for Chemical Engineers. 2nd ed. New York: McGraw-Hill.
Marcy, Alex. 2023. UNIFIED NAMESPACES: The
Ultimate Guide. Corso Systems.
Montgomery, Douglas C., Elizabeth A. Peck, and G. Geoffrey Vining. 2013.
Introduction to Linear Regression Analysis. 5.
Aufl. Wiley Series in Probability and
Statistics. s.l.: Wiley.
Narasimhan, Shankar, and Cornelius Jordache. 2000. Data
Reconciliation & Gross Error Detection: An Intelligent Use of
Process Data. Houston: Gulf Publishing Co.
PERA.net. n.d. “Purdue Enterprise Reference
Architecture (PERA).” Accessed February 7,
2026. https://www.pera.net/.
Romagnoli, José A., and Mabel Cristina Sánchez. 2000. Data
Processing and Reconciliation for Chemical Process Operations.
Process Systems Engineering, v. 2. San Diego: Academic Press.
Seborg, Dale E., Thomas F. Edgar, Duncan A. Mellichamp, and Francis J.
Doyle III. 2016. Process Dynamics and
Control. John Wiley & Sons. https://books.google.com?id=ZZVFEAAAQBAJ.
siemens.com. n.d. “Siemens
SIMATIC PCS 7 Process Historian.”
siemens.com Global Website. Accessed February 8, 2026. https://www.siemens.com/global/en/products/automation/process-control/simatic-pcs-7/process-data-archiving-and-reporting.html.
Tukey, John W. 1977. Exploratory Data Analysis.
Addison-Wesley Series in Behavioral Science. Reading, Mass:
Addison-Wesley Pub. Co.
Upreti, Simant Ranjan. 2017. Process Modeling and Simulation for
Chemical Engineers: Theory and Practice. Hoboken, NJ: John Wiley
& Sons.
www.aveva.com. n.d. “AVEVA
Historian.” Accessed February 8, 2026. https://www.aveva.com/en/products/historian/.
www.dataparc.com. n.d. “dataPARC.” dataPARC. Accessed February 8,
2026. https://www.dataparc.com/chemicals/.
www.isa.org. n.d. “ISA-95
Standard: Enterprise-Control System
Integration.” isa.org. Accessed February 7, 2026. https://www.isa.org/standards-and-publications/isa-standards/isa-95-standard.
Zendehboudi, Sohrab, Nima Rezaei, and Ali Lohi. 2018.
“Applications of Hybrid Models in Chemical, Petroleum, and Energy
Systems: A Systematic Review.” Applied
Energy 228 (October): 2539–66. https://doi.org/10.1016/j.apenergy.2018.06.051.