Predictive analytics model for power consumption in manufacturing

Procedia CIRP

Volumn 15, Issue , 2014, Pages 153-158

  Shin, Seung Jun ^a   Woo, Jungyub ^a   Rachuri, Sudarsan ^a  

^a NATIONAL INSTITUTE OF STANDARDS AND TECHNOLOGY   (United States)

Author keywords

Big data; Machine learning; MTConnect; STEP NC; Sustainability indicator; Sustainable manufacturing

Indexed keywords

ANALYTICAL MODELS; ARTIFICIAL INTELLIGENCE; DATA HANDLING; ELECTRIC POWER UTILIZATION; FILE ORGANIZATION; LEARNING SYSTEMS; LIFE CYCLE; MANUFACTURE; MANUFACTURING DATA PROCESSING; METAL CUTTING; MONITORING; PREDICTIVE ANALYTICS; SUSTAINABLE DEVELOPMENT;

CAUSE-EFFECT RELATIONSHIPS; FUNCTIONAL ARCHITECTURE; HADOOP DISTRIBUTED FILE SYSTEM (HDFS); MTCONNECT; STEP-NC; SUSTAINABILITY INDICATORS; SUSTAINABILITY PERFORMANCE; SUSTAINABLE MANUFACTURING;

BIG DATA;

EID: 84903614856     PISSN: None     EISSN: 22128271     Source Type: Conference Proceeding    
DOI: 10.1016/j.procir.2014.06.036     Document Type: Conference Paper

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