references.bib

---
---

@article{samuel1959some,
  title={Some studies in machine learning using the game of checkers},
  author={Samuel, Arthur L},
  journal={IBM Journal of research and development},
  volume={3},
  number={3},
  pages={210--229},
  year={1959},
  publisher={IBM}
}

@article{yuan2019developing,
  title={Developing quantitative structure--property relationship models to predict the upper flammability limit using machine learning},
  author={Yuan, Shuai and Jiao, Zeren and Quddus, Noor and Kwon, Joseph Sang-II and Mashuga, Chad V},
  journal={Industrial \& Engineering Chemistry Research},
  volume={58},
  number={8},
  pages={3531--3537},
  year={2019},
  publisher={ACS Publications}
}

@article{shen2003development,
  title={Development and validation of k-nearest-neighbor QSPR models of metabolic stability of drug candidates},
  author={Shen, Min and Xiao, Yunde and Golbraikh, Alexander and Gombar, Vijay K and Tropsha, Alexander},
  journal={Journal of medicinal chemistry},
  volume={46},
  number={14},
  pages={3013--3020},
  year={2003},
  publisher={ACS Publications}
}

@article{hansen2009benchmark,
  title={Benchmark data set for in silico prediction of Ames mutagenicity},
  author={Hansen, Katja and Mika, Sebastian and Schroeter, Timon and Sutter, Andreas and Ter Laak, Antonius and Steger-Hartmann, Thomas and Heinrich, Nikolaus and Muller, Klaus-Robert},
  journal={Journal of chemical information and modeling},
  volume={49},
  number={9},
  pages={2077--2081},
  year={2009},
  publisher={ACS Publications}
}

@book{murphy2022probabilistic,
  title={Probabilistic machine learning: an introduction},
  author={Murphy, Kevin P},
  year={2022},
  publisher={MIT press}
}

@book{smith2004introduction,
  title={Introduction to chemical engineering thermodynamics},
  author={Smith, Joseph Mauk and Van Ness, Hendrick C and Abbott, Michael M and Swihart, Mark Thomas},
  year={2004},
  publisher={McGraw-Hill Education},
  edition={7th}
}

@book{haynes2016crc,
  title={CRC handbook of chemistry and physics},
  author={Haynes, William M},
  year={2016},
  publisher={CRC press}
}

@book{speight2017lange,
  title={Lange's handbook of chemistry},
  author={Speight, James G},
  year={2017},
  publisher={McGraw-Hill Education}
}

@book{glassey2018hybrid,
  title={Hybrid modeling in process industries},
  author={Glassey, Jarka and Von Stosch, Moritz},
  year={2018},
  publisher={CRC Press}
}

@article{von2014hybrid,
  title={Hybrid semi-parametric modeling in process systems engineering: Past, present and future},
  author={Von Stosch, Moritz and Oliveira, Rui and Peres, Joana and de Azevedo, Sebasti{\~a}o Feyo},
  journal={Computers \& Chemical Engineering},
  volume={60},
  pages={86--101},
  year={2014},
  publisher={Elsevier}
}

@article{mcbride2020hybrid,
  title={Hybrid Semi-parametric Modeling in Separation Processes: A Review},
  author={McBride, Kevin and Sanchez Medina, Edgar Ivan and Sundmacher, Kai},
  journal={Chemie Ingenieur Technik},
  volume={92},
  number={7},
  pages={842--855},
  year={2020},
  publisher={Wiley Online Library}
}

@article{downs1993plant,
  title={A plant-wide industrial process control problem},
  author={Downs, James J and Vogel, Ernest F},
  journal={Computers \& chemical engineering},
  volume={17},
  number={3},
  pages={245--255},
  year={1993},
  publisher={Elsevier}
}

@book{russell2000data,
  title={Data-driven Methods for Fault Detection and Diagnosis in Chemical Processes},
  author={Evan L. Russell and Leo H. Chiang and Richard D. Braatz},
  year={2000},
  publisher={Springer London}
}

@book{kumar2022machine,
author = {Kumar, Ankur and Flores-Cerrillo, Jesus},
title = {Machine Learning in Python for Process Systems Engineering},
publisher = {MLforPSE},
year = {2022},
note = {\url{https://mlforpse.com/books/}}
}


@article{heuberger2017power,
  title={Power capacity expansion planning considering endogenous technology cost learning},
  author={Heuberger, Clara F and Rubin, Edward S and Staffell, Iain and Shah, Nilay and Mac Dowell, Niall},
  journal={Applied Energy},
  volume={204},
  pages={831--845},
  year={2017},
  publisher={Elsevier}
}

@misc{OPSD2020,
    title={Data Package Time series. Version 2020-10-06},
    author={Open Power System Data},
    year={2020},
    note={\url{https://doi.org/10.25832/time_series/2020-10-06} (primary data from various sources, for a complete list see URL)}
}