μMonitor: In-situ energy monitoring with microwatt power consumption

2016 ◽  
Author(s):  
Saman Naderiparizi ◽  
Aaron N. Parks ◽  
Farshid Salemi Parizi ◽  
Joshua R. Smith
Keyword(s):  
Power Consumption ◽  
Energy Monitoring

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 Online Methodology for Separating the Power Consumption of Lighting Sockets and Air-Conditioning in Public Buildings Based on an Outdoor Temperature Partition Model and Historical Energy Consumption Data

2021 ◽  
Vol 11 (3) ◽  
pp. 1031
Author(s):  
Tianyi Zhao ◽  
Chengyu Zhang ◽  
Terigele Ujeed ◽  
Liangdong Ma
Keyword(s):  
Energy Consumption ◽  
Power Consumption ◽  
Air Conditioning ◽  
Clustering Algorithm ◽  
Nearest Neighbor ◽  
K Nearest Neighbor ◽  
Public Buildings ◽  
Energy Monitoring ◽  
Consumption Data ◽  
Monitoring Platform

Among sub-items of energy consumption in public buildings, lighting sockets play an important role in energy-saving analysis. So, the energy consumption data quality of lighting sockets is important. However, limited by the initial cost of energy monitoring platform, it is difficult to install electricity meters covering all branches and to retrofit the incompact classification electricity branches, which results in a mixture of the lighting socket energy consumption and other components. In this study, a separation methodology is proposed. First, the abnormal data in the energy monitoring platform are cleaned and screened using a clustering algorithm. Second, the average outdoor air temperature partitioning model (OATPM) method and the k-nearest neighbor (KNN) clustering algorithm method are proposed for identifying and separating the abnormal data. These two methods have complementary advantages in the best applicable scenarios, including calculation accuracy and other aspects. The verification results for three buildings show that the relative error of this separation methodology is less than 15%. Finally, this paper presents the optimization parameters of the KNN method. Through this methodology, building managers need only historical data in an energy monitoring platform to separate the combined power consumption of the lighting sockets and air-conditioning online, independent of detailed information statistics.

In-situ laser power/energy monitoring in biomedical applications

1998 ◽  
Author(s):  
Michel Giroux ◽  
Loic Marchand ◽  
Luc Carmichael ◽  
Ronald E. Vander Haeghe
Keyword(s):  
Laser Power ◽  
Biomedical Applications ◽  
Energy Monitoring

An In Situ Dissolved Oxygen Monitoring System Based on Fluorescence Quenching Phase Detection

2012 ◽  
Vol 588-589 ◽  
pp. 968-973 ◽  
Author(s):  
Tao Zhang ◽  
Shu Ming Ye ◽  
Ji Yu Han ◽  
Jun Feng Liu
Keyword(s):  
Fluorescence Quenching ◽  
Power Consumption ◽  
Dissolved Oxygen ◽  
Low Power ◽  
High Precision ◽  
Low Power Consumption ◽  
Phase Detection ◽  
Oxygen Monitoring ◽  
Dissolved Oxygen Monitoring

As a major indicator in marine life research and geochemistry, the in-situ monitoring of dissolved oxygen has become increasingly important in the assessment of marine ecosystem. It has been proved that fluorescence quenching may result in shorter fluorescence lifetime. Based on it, this paper proposes an in-situ dissolved oxygen monitoring system of high precision and low power consumption applicable to long-term monitoring of complex marine environment. Using phase detecting method, an AC analog amplification channel on Precision photoelectric detection, and used digital phase detection method and three order integral average method to detect the phase offset. The ultralow-power microcontroller was used to control system. The experiments results show that the system has high stability, high precision(0.02mg/L), quick response time(≤40s), low power consumption(peak current ≤10mA), strong anti interference ability.

Developing Energy Monitoring Application For Monitoring Power Consumption In Production Machines

2021 ◽  
Author(s):  
Masmur Tarigan ◽  
Ari Pambudi ◽  
Hadi Sutopo ◽  
Hendra Hendra ◽  
Dini Handayani
Keyword(s):  
Power Consumption ◽  
Energy Monitoring ◽  
Monitoring Application

scholarly journals IOT Based Smart Energy Monitoring and Billing System

2021 ◽  
pp. 273-278
Author(s):  
Sinnarkar Mohini ◽  
Bare Priyadarshani ◽  
Chavan Nikita
Keyword(s):  
Internet Of Things ◽  
Power Consumption ◽  
Present System ◽  
Manual Labor ◽  
Human Beings ◽  
Energy Monitoring ◽  
Real Power ◽  
Billing System ◽  
Energy Meter ◽  
Energy Metering

Electricity is one of the fundamental necessities of human beings, which is commonly used for domestic, industrial, and agriculture purposes. The present system of energy metering as well as billing in India uses electromechanical and somewhere digital meter. it consumes more time and labor. One of the prime reasons is the traditional billing system which is inaccurate. The smart energy meter gives real power consumption as well as accurate billing. In the project, we will measure the energy being consumed in the house and will generate its bill automatically using telemetric communication. This will help in reducing the consumption of energy in the house as the owner will continuously be notified about the number of units that are being consumed. The main objective is to generate the bill automatically by checking the electricity unit’s consumption of the house to reduce the manual labor. The calculations will be performed controller and the bill will be updated on to the clouds by using a network of Internet of Things. The bill amount can be checked by the user and suppler anywhere remotely.

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