Hybrid model for dynamic power management

IEEE Transactions on Consumer Electronics

Volumn 55, Issue 2, 2009, Pages 656-664

  Lee, Wai Kong ^a   Lee, Sze Wei ^b   Siew, Wee Ong ^a  

^a MULTIMEDIA UNIVERSITY   (Malaysia)

^b UNIVERSITI TUNKU ABDUL RAHMAN   (Malaysia)

Author keywords

Dynamic Power Management; Hurst Exponent; Neural Network; Time Delay

Indexed keywords

AUTO-REGRESSIVE; DYNAMIC POWER MANAGEMENT; ELECTRICAL COMPONENTS; HURST EXPONENT; HYBRID MODEL; LONG RANGE DEPENDENT; LONG-RANGE DEPENDENCIES; MOVING AVERAGES; POWER SAVINGS; PREDICTION TECHNIQUES; RANDOM WALK MODELS; SHORT-RANGE DEPENDENTS; SHUT DOWN; SIMULATION RESULT; SYSTEM-LEVEL POWER MANAGEMENT; TIME DELAY NEURAL NETWORKS; USER BEHAVIORS;

BEHAVIORAL RESEARCH; ENERGY MANAGEMENT; HYBRID SENSORS; MARKOV PROCESSES; NEURAL NETWORKS; PHASE MEASUREMENT; TIME DELAY; TIME SERIES;

ELECTRIC POWER MEASUREMENT;

EID: 68949169344     PISSN: 00983063     EISSN: None     Source Type: Journal    
DOI: 10.1109/TCE.2009.5174436     Document Type: Article

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