Vattenfall Optimizes Offshore Wind Farm Design
Author:
Affiliation:
1. Vattenfall Wind, DK-6000 Kolding, Denmark;
2. Department of Electrical, Electronic and Information Engineering, University of Bologna, I-40136 Bologna, Italy;
3. DTU Management, Technical University of Denmark, DK-2800 Kongens Lyngby, Denmark
Publisher
Institute for Operations Research and the Management Sciences (INFORMS)
Subject
Management of Technology and Innovation,Management Science and Operations Research,Strategy and Management
Reference15 articles.
1. Modelling and measuring flow and wind turbine wakes in large wind farms offshore
2. Fischetti M (2014) Mixed-integer models and algorithms for wind farm layout optimization. Unpublished master’s thesis, University of Padova, Veneto, Italy.
3. Fischetti M (2018) Mathematical programming models and algorithms for offshore wind park design. Unpublished doctoral dissertation, Technical University of Denmark, Kongens Lyngby, Denmark.
4. Fischetti M, Fischetti M (2016) Matheuristics. Martí P, Panos P, Resende MG, eds. Handbook of Heuristics (Springer International Publishing, Cham, Switzerland), 1–33.
5. Fischetti M, Fraccaro M (2017) Using OR + AI to predict the optimal production of offshore wind parks: A preliminary study. Sforza A., Sterle C, eds. Optim. Decision Sci. Methodologies Appl., ODS 2017, Springer Proceedings in Mathematics and Statistics, vol. 217 (Springer, Cham, Switzerland), 203–211.
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