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Pyomo — Optimization Modeling in Python

Author

Listed:
  • Michael L. Bynum

    (Sandia National Laboratories)

  • Gabriel A. Hackebeil

    (Deepfield Nokia)

  • William E. Hart

    (Sandia National Laboratories)

  • Carl D. Laird

    (Sandia National Laboratories)

  • Bethany L. Nicholson

    (Sandia National Laboratories)

  • John D. Siirola

    (Sandia National Laboratories)

  • Jean-Paul Watson

    (Lawrence Livermore National Laboratory)

  • David L. Woodruff

    (University of California, Davis)

Abstract

No abstract is available for this item.

Individual chapters are listed in the "Chapters" tab

Suggested Citation

  • Michael L. Bynum & Gabriel A. Hackebeil & William E. Hart & Carl D. Laird & Bethany L. Nicholson & John D. Siirola & Jean-Paul Watson & David L. Woodruff, 2021. "Pyomo — Optimization Modeling in Python," Springer Optimization and Its Applications, Springer, edition 3, number 978-3-030-68928-5, June.
    • Handle: RePEc:spr:spopap:978-3-030-68928-5
    DOI: 10.1007/978-3-030-68928-5
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    Cited by:

    1. Olympios, Andreas V. & Kourougianni, Fanourios & Arsalis, Alexandros & Papanastasiou, Panos & Pantaleo, Antonio M. & Markides, Christos N. & Georghiou, George E., 2024. "A holistic framework for the optimal design and operation of electricity, heating, cooling and hydrogen technologies in buildings," Applied Energy, Elsevier, vol. 370(C).
    2. Abiodun, Kehinde & Hood, Karoline & Cox, John L. & Newman, Alexandra M. & Zolan, Alex J., 2023. "The value of concentrating solar power in ancillary services markets," Applied Energy, Elsevier, vol. 334(C).
    3. Fusco, Andrea & Gioffrè, Domenico & Francesco Castelli, Alessandro & Bovo, Cristian & Martelli, Emanuele, 2023. "A multi-stage stochastic programming model for the unit commitment of conventional and virtual power plants bidding in the day-ahead and ancillary services markets," Applied Energy, Elsevier, vol. 336(C).
    4. Zachary Kilwein & Jordan Jalving & Michael Eydenberg & Logan Blakely & Kyle Skolfield & Carl Laird & Fani Boukouvala, 2023. "Optimization with Neural Network Feasibility Surrogates: Formulations and Application to Security-Constrained Optimal Power Flow," Energies, MDPI, vol. 16(16), pages 1-17, August.
    5. Sergio Cantillo-Luna & Ricardo Moreno-Chuquen & David Celeita & George J. Anders, 2024. "A Stochastic Decision-Making Tool Suite for Distributed Energy Resources Integration in Energy Markets," Energies, MDPI, vol. 17(10), pages 1-28, May.
    6. Kühnbach, Matthias & Bekk, Anke & Weidlich, Anke, 2022. "Towards improved prosumer participation: Electricity trading in local markets," Energy, Elsevier, vol. 239(PE).
    7. Arwa, Erick O. & Schell, Kristen R., 2024. "Batteries or silos: Optimizing storage capacity in direct air capture plants to maximize renewable energy use," Applied Energy, Elsevier, vol. 355(C).
    8. Gabriele Volpato & Gianluca Carraro & Enrico Dal Cin & Sergio Rech, 2024. "On the Different Fair Allocations of Economic Benefits for Energy Communities," Energies, MDPI, vol. 17(19), pages 1-26, September.

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