Using Large-Scale Social Media Networks as a Scalable Sensing System for Modeling Real-Time Energy Utilization Patterns

IEEE Transactions on Systems, Man, and Cybernetics: Systems

Volumn 47, Issue 10, 2017, Pages 2627-2640

  Bodnar, Todd ^a   Dering, Matthew L ^a   Tucker, Conrad ^a,b   Edu, Kenneth M ^c  

^a PENNSYLVANIA STATE UNIVERSITY   (United States)

^b The Pennsylvania State University   (United States)

^c Air Force Institute of Technology   (United States)

Author keywords

Event detection; Granger causality; predictive models; social network services; unsupervised learning

Indexed keywords

ELECTRIC POWER UTILIZATION; ENERGY UTILIZATION; SMART METERS; SOCIAL NETWORKING (ONLINE); UNSUPERVISED LEARNING;

ELECTRICITY CONSUMPTION PATTERNS; ENERGY CONSUMPTION RATES; EVENT DETECTION; GRANGER CAUSALITY; HIGH POWER CONSUMPTION; PREDICTIVE MODELS; SOCIAL NETWORK SERVICES; U.S. DEPARTMENT OF ENERGY;

ELECTRIC POWER MEASUREMENT;

EID: 85030118412     PISSN: 21682216     EISSN: 21682232     Source Type: Journal    
DOI: 10.1109/TSMC.2016.2618860     Document Type: Article

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