|
|
|
Janghyun Kim, Stephen Frank, Piljae Im, James E. Braun, David Goldwasser and Matt Leach
Automated fault detection and diagnosis (AFDD) tools based on machine-learning algorithms hold promise for lowering cost barriers for AFDD in small commercial buildings; however, access to high-quality training data for such algorithms is often difficult...
ver más
|
|
|
|
|
|
|
Janghyun Kim, Stephen Frank, James E. Braun and David Goldwasser
Small commercial buildings (those with less than approximately 1000 m2 of total floor area) often do not have access to cost-effective automated fault detection and diagnosis (AFDD) tools for maintaining efficient building operations. AFDD tools based on...
ver más
|
|
|
|
|
|
|
Aggarwal, Gagan, Cheng, Qi, Goldwasser, Michael H, Kao, Ming-Yang, Espanes, Pablo Moisset de, Schweller, Robert T
Pág. 1493 - 1515
|
|
|
|
|
|
|
Li, Y; Vieira, A J C; Goldwasser, S M; Herczfeld, P R
Pág. 2048 - 2054
|
|
|
|