Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Steve Ierome"'
Publikováno v:
Computer. 44:103-105
Electrical grid reliabil ity will be a key issue as peak demand for electric ity continues to increase. Grids will need to accommodate a growing population, more high-tech appliances, distributed power genera tion, and, soon, a large fleet of electri
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b5c00c334e0d66972232426728d55a63
https://doi.org/10.1109/mc.2011.164
https://doi.org/10.1109/mc.2011.164
Autor:
Arthur Kressner, Rebecca J. Passonneau, Cynthia Rudin, Philip Gross, Axinia Radeva, M. Chow, Haimonti Dutta, Delfina Isaac, Bert Huang, Ansaf Salleb-Aouissi, Roger N. Anderson, David L. Waltz, Albert Boulanger, Steve Ierome, Leon Wu
Publikováno v:
Prof. Rudin via Alex Caracuzzo
Power companies can benefit from the use of knowledge discovery methods and statistical machine learning for preventive maintenance. We introduce a general process for transforming historical electrical grid data into models that aim to predict the r
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2212ae1ec24545eba79260ee03829151
http://hdl.handle.net/1721.1/68634
http://hdl.handle.net/1721.1/68634
Autor:
Rebecca J. Passonneau, Steve Ierome, Axinia Radeva, Delfina Isaac, Haimonti Dutta, Cynthia Rudin
Publikováno v:
Cynthia Rudin
We present a knowledge discovery and data mining process developed as part of the Columbia/Con Edison project on manhole event prediction. This process can assist with real-world prioritization problems that involve raw data in the form of noisy docu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4b7f0adb3f174562c2173e7ec95586fd
http://hdl.handle.net/1721.1/57432
http://hdl.handle.net/1721.1/57432