A model of energy-awareness predictor to improve the energy efficiency
  • Kim, Svetlana
  • Yoon, Yong-Ik
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초록

The data centers contribute to high operational costs and electrical energy will be consumed in enormous amounts. One of the most complex challenges of energy consumption is power management. Many different methods have been applied in order to reduce energy consumption. In this paper, we propose the architecture framework focuses on analyzing the EAP (Energy-Awareness Predictor) to improve the energy efficiency. Through analysis and various integrated sensor devices, the EAP architecture framework can understanding of the consumption patterns and can better controlling of the major energy consuming. Based on inputs independent variables (value of external and internal environmental) is prediction and implement refrigeration and process control, optimization and energy management. © Springer Nature Singapore Pte Ltd. 2017.

키워드

Context-awareEnergy efficiencyEnergy-awareness predictorTensor factorizationEnergy managementEnergy utilizationPower managementArchitecture frameworksConsumption patternsContext-AwareEnergy awarenessIndependent variablesIntegrated sensorsReduce energy consumptionTensor factorizationEnergy efficiency
제목
A model of energy-awareness predictor to improve the energy efficiency
저자
Kim, SvetlanaYoon, Yong-Ik
DOI
10.1007/978-981-10-5041-1_105
발행일
2017-05
유형
Conference Paper
저널명
Lecture Notes in Electrical Engineering
448
페이지
656 ~ 662