scholarly journals A Novel Method for the Bi-directional Transformation between Human Living Activities and Appliance Power Consumption Patterns

2014 ◽  
Vol E97.D (2) ◽  
pp. 275-284 ◽  
Author(s):  
Xinpeng ZHANG ◽  
Yusuke YAMADA ◽  
Takekazu KATO ◽  
Takashi MATSUYAMA
Keyword(s):  
Power Consumption ◽  
Consumption Patterns ◽  
Novel Method

scholarly journals A Novel Method for Detecting Abnormal Energy Data in Building Energy Monitoring System

2014 ◽  
Vol 2014 ◽  
pp. 1-5 ◽  
Author(s):  
Liang Zhao
Keyword(s):  
Energy Consumption ◽  
Power Consumption ◽  
Real Time ◽  
Difference Method ◽  
Building Energy ◽  
Energy Monitoring ◽  
Order Difference ◽  
Energy Data ◽  
First Order ◽  
Novel Method

This paper presents a novel abnormal data detecting algorithm based on the first order difference method, which could be used to find out outlier in building energy consumption platform real time. The principle and criterion of methodology are discussed in detail. The results show that outlier in cumulative power consumption could be detected by our method.

scholarly journals A Novel Method of Minimizing Power Consumption for Existing Chiller Plant

2017 ◽  
Vol 205 ◽  
pp. 1959-1966 ◽  
Author(s):  
Xue Xue ◽  
Tian Sun ◽  
Wenxing Shi ◽  
Xinhong Li
Keyword(s):  
Power Consumption ◽  
Novel Method

A Study on the Power Consumption Patterns of General Hospital Buildings

2015 ◽  
Vol 1092-1093 ◽  
pp. 573-577
Author(s):  
Myung Kil Yeo ◽  
Kang Guk Lee ◽  
Won Hwa Hong
Keyword(s):  
Power Consumption ◽  
General Hospital ◽  
Power Supply ◽  
Energy Use ◽  
Consumption Patterns ◽  
Basic Data ◽  
Energy Usage ◽  
General Hospitals ◽  
Usage Patterns ◽  
Save Energy

The most important part of energy use in hospital buildings is to identify its usage patterns and maintain power supply even in blackout situations, rather than to save energy. This paper presents the power energy usage patterns of general hospitals as basic data for the establishment of countermeasures in blackout situations.

scholarly journals Efficient Resource Utilization Based on Energy Management in Cloud Data Center

2019 ◽  
Vol 8 (6) ◽  
pp. 340-344
Keyword(s):  
Power Consumption ◽  
Resource Utilization ◽  
Data Center ◽  
Vital Role ◽  
Cloud Data Center ◽  
Cloud Data ◽  
Network Bandwidth ◽  
Efficient Resource ◽  
Novel Method ◽  
Dynamic Resource

Efficient resource utilization plays a vital role in cloud computing since the shared computational power of the resources is offered on demand. During dynamic resource allocation sometimes a server may be over utilized or underutilized thus leading to excess of energy consumption in the data centers. So the proposed system calculates the over utilization and underutilization of a CPU and RAM usage and also considers the network bandwidth usage to reduce power consumption in the cloud data center. Hence, a novel method is used for minimizing power consumption in the data center

scholarly journals Smart metering application for power efficiency studies

2015 ◽  
Vol 4 (1) ◽  
pp. 78
Author(s):  
Cristian Tudoran ◽  
Stefan Albert ◽  
Dorin N. Dadarlat ◽  
Carmen Tripon ◽  
Sorin Dan Anghel
Keyword(s):  
Energy Efficiency ◽  
Energy Consumption ◽  
Power Consumption ◽  
Monitoring System ◽  
Data Center ◽  
Power Efficiency ◽  
Consumption Patterns ◽  
Smart Metering ◽  
Research Teams ◽  
Energy Consumption Patterns

Improving the energy efficiency of our Institute’s data center is an ambitious challenge for our research teams. Understanding how the energy is consumed in each segment of the system becomes fundamental in order to minimize the overall energy consumed by the system itself. In this paper, we propose an experimentally–driven approach to develop a simple and accurate power consumption and temperature monitoring system. In this work we focused our attention on the monitoring, measurement of the energy consumption patterns of our data center system, at INCDTIM Cluj-Napoca, Romania.

Exploiting DLMS/COSEM Data Compression To Learn Power Consumption Patterns

2021 ◽  
Author(s):  
Marcell Feher ◽  
Daniel E. Lucani ◽  
Morten Tranberg Hansen ◽  
Flemming Enevold Vester
Keyword(s):  
Power Consumption ◽  
Data Compression ◽  
Consumption Patterns
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