Improving Mathematical Exposition of an Industrial-Scale Linear Program
References
- (2006) Nonlinear Programming: Theory and Algorithms, 3rd ed. (John Wiley and Sons, Hoboken, NJ).Crossref, Google Scholar
- (2017) Modeling the value of integrated U.S. and Canadian power sector expansion. Electricity J. 30(2):47–59.Crossref, Google Scholar
- (2004) Top ten secrets to success with optimization. Phalanx 37(4):12–13, 25–26.Google Scholar
- (2007) Formulating integer linear programs: A rogues’ gallery. INFORMS Trans. Ed. 7(2):153–159.Link, Google Scholar
- (2008) Optimization tradecraft: Hard-won insights from real-world decision support. Interfaces 38(5):356–366.Link, Google Scholar
- (2017) 2017 standard scenarios report: A U.S. electricity sector outlook. Report NREL/TP-6A20–68548, National Renewable Energy Laboratory, Golden, CO.Google Scholar
- (2016) A view to the future of natural gas and electricity: An integrated modeling approach. Energy Economics 60:486–496.Crossref, Google Scholar
- (1991) Linear Programming and Extensions (Princeton University Press, Princeton, NJ).Google Scholar
- (2016) Regional energy deployment system model documentation: Version 2016. Report NREL/TP-6A20-67067, National Renewable Energy Laboratory, Golden, CO.Google Scholar
- (1970) How to write mathematics. L’Enseignement Mathematique 16(2):123–152.Google Scholar
- (2016) Modeling the integrated expansion of the Canadian and U.S. power sectors. Electricity J. 29(1):71–80.Crossref, Google Scholar
- (2013) Practical guidelines for solving difficult linear programs. Surveys Oper. Res. Management Sci. 18(1–2):1–17.Crossref, Google Scholar
- (2014) Renewable electricity futures for the United States. IEEE Trans. Sustainable Energy 5(2):372–378.Crossref, Google Scholar
- National Renewable Energy Laboratory (2019) Now publicly available, NREL’s ReEDS model expands access to inform the power sector, Accessed December 18, 2022, https://www.nrel.gov/news/program/2019/now-publicly-available-nrels-reeds-model-expands-access-to-inform-the-power-sector.html.Google Scholar
- (2013) A survey of linear and mixed-integer optimization tutorials. INFORMS Trans. Ed. 14(1):26–38.Link, Google Scholar
- (2001) Teaching modeling in management science. INFORMS Trans. Ed. 1(2):62–67.Link, Google Scholar
- (2017) Optimization in Operations Research, 2nd ed. (Pearson Higher Education, Hoboken, NJ).Google Scholar
- (2017) Assessing the impact of nuclear retirements on the U.S. power sector. Electricity J. 30(9):14–21.Crossref, Google Scholar
- (2014) Greenhouse gas mitigation options in the U.S. electric sector: A ReEDS analysis. Energy J. 35(SI1):101–114.Crossref, Google Scholar
- (2016) Consistent notation for presenting complex optimization models in technical writing. Surveys Oper. Res. Management Sci. 21(1):1–17.Crossref, Google Scholar
- (2016) Long-term implications of sustained wind power growth in the United States: Potential benefits and secondary impacts. Appl. Energy 179(1):146–158.Crossref, Google Scholar
- (2017) Assessing the costs and benefits of US renewable portfolio standards. Environ. Res. Lett. 12:094023.Crossref, Google Scholar

