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Automated pipeline framework for processing of large-scale building energy time series data.
Khalilnejad, Arash; Karimi, Ahmad M; Kamath, Shreyas; Haddadian, Rojiar; French, Roger H; Abramson, Alexis R.
Afiliación
  • Khalilnejad A; Department of Electrical, Computer, and Systems Engineering, Case School of Engineering, Case Western Reserve University, Cleveland, Ohio, United States of America.
  • Karimi AM; SDLE Research Center, Case School of Engineering, Case Western Reserve University, Cleveland, Ohio, United States of America.
  • Kamath S; Department of Computer and Data Sciences, Case School of Engineering, Case Western Reserve University, Cleveland, Ohio, United States of America.
  • Haddadian R; SDLE Research Center, Case School of Engineering, Case Western Reserve University, Cleveland, Ohio, United States of America.
  • French RH; Department of Electrical, Computer, and Systems Engineering, Case School of Engineering, Case Western Reserve University, Cleveland, Ohio, United States of America.
  • Abramson AR; SDLE Research Center, Case School of Engineering, Case Western Reserve University, Cleveland, Ohio, United States of America.
PLoS One ; 15(12): e0240461, 2020.
Article en En | MEDLINE | ID: mdl-33259504

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Comercio / Electricidad / Data Warehousing / Vivienda Tipo de estudio: Observational_studies / Prognostic_studies / Risk_factors_studies Aspecto: Determinantes_sociais_saude País/Región como asunto: America do norte Idioma: En Revista: PLoS One Asunto de la revista: CIENCIA / MEDICINA Año: 2020 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Comercio / Electricidad / Data Warehousing / Vivienda Tipo de estudio: Observational_studies / Prognostic_studies / Risk_factors_studies Aspecto: Determinantes_sociais_saude País/Región como asunto: America do norte Idioma: En Revista: PLoS One Asunto de la revista: CIENCIA / MEDICINA Año: 2020 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Estados Unidos