Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Scott L. Morris"'
Autor:
Chris R. Vernon, Nino Zuljevic, Jennie S. Rice, Timothy E. Seiple, Michael C. W. Kintner-Meyer, Nathalie Voisin, Ian P. Kraucunas, Jin Chunlian, Jarrod Olson, Laurel Schmidt, Scott L. Morris, Pralit Patel
Publikováno v:
Journal of Open Research Software, Vol 6, Iss 1 (2018)
The Capacity Expansion Regional Feasibility (CERF) model is an open-source geospatial model, written in Python and C++, that is designed to determine the on-the-ground feasibility of achieving a projected energy technology expansion plan. Integrated
Externí odkaz:
https://doaj.org/article/d5d3beab32434cbe9d81c902b1a64add
Autor:
J. Rice, Jarrod Olson, Pralit Patel, Jin Chunlian, Chris R. Vernon, Michael Kintner-Meyer, Scott L. Morris, Laurel Schmidt, Ian Kraucunas, Nathalie Voisin, Nino Zuljevic, Timothy E. Seiple
Publikováno v:
Journal of Open Research Software, Vol 6, Iss 1 (2018)
Journal of Open Research Software; Vol 6, No 1 (2018); 20
Journal of Open Research Software; Vol 6, No 1 (2018); 20
The Capacity Expansion Regional Feasibility (CERF) model is an open-source geospatial model, written in Python and C++, that is designed to determine the on-the-ground feasibility of achieving a projected energy technology expansion plan. Integrated
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cb1f339ab932f76caa810d87dd335626
https://openresearchsoftware.metajnl.com/articles/227
https://openresearchsoftware.metajnl.com/articles/227
Autor:
Olga V. Livingston, Scott L. Morris, Susan A. Loper, Kathleen S. Judd, Mark A. Halverson, Emily M. Wendel, Jennifer L. Williamson
The DOE's Federal Energy Management Program has been charged by Office of Management and Budget to conduct an evaluation on actual and verifiable energy savings and carbon emissions reductions from federal energy management investments made across th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::87a477b9d7514602a8de71eed8ccb3d5
https://doi.org/10.2172/1069214
https://doi.org/10.2172/1069214
