Duke Probability Theory and Applications
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Publications [#354181] of Dalia Patino-Echeverri

Papers Published

  1. DeCarolis, JF; Jaramillo, P; Johnson, JX; McCollum, DL; Trutnevyte, E; Daniels, DC; Akın-Olçum, G; Bergerson, J; Cho, S; Choi, JH; Craig, MT; de Queiroz, AR; Eshraghi, H; Galik, CS; Gutowski, TG; Haapala, KR; Hodge, BM; Hoque, S; Jenkins, JD; Jenn, A; Johansson, DJA; Kaufman, N; Kiviluoma, J; Lin, Z; MacLean, HL; Masanet, E; Masnadi, MS; McMillan, CA; Nock, DS; Patankar, N; Patino-Echeverri, D; Schively, G; Siddiqui, S; Smith, AD; Venkatesh, A; Wagner, G; Yeh, S; Zhou, Y, Leveraging Open-Source Tools for Collaborative Macro-energy System Modeling Efforts, Joule, vol. 4 no. 12 (December, 2020), pp. 2523-2526 [doi]
    (last updated on 2023/06/01)

    Abstract:
    The authors are founding team members of a new effort to develop an Open Energy Outlook for the United States. The effort aims to apply best practices of policy-focused energy system modeling, ensure transparency, build a networked community, and work toward a common purpose: examining possible US energy system futures to inform energy and climate policy efforts. Individual author biographies can be found on the project website: https://openenergyoutlook.org/. DeCarolis et al. articulate the benefits of forming collaborative teams with a wide array of disciplinary and domain expertise to conduct analysis with macro-energy system models. Open-source models, tools, and datasets underpin such efforts by enabling transparency, accessibility, and replicability among team members and with the broader modeling community.