Wireless power consumption monitoring and analysis system using Winter's forecasting method

The Philippines is one of the rising economies in Southeast Asia. However, it is facing a power crisis where there is a continuous increases in an already huge demand in electricity given the limited and scare supply from different power sectors. Consumers are called to be aware of their power consu...

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Main Authors: Enriquez, Dominic Joseph R, Villanueva, Marcel Lowell G, Dumlao, Samuel Matthew G, Reyes, Rosula SJ
Format: text
Published: Archīum Ateneo 2016
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Online Access:https://archium.ateneo.edu/ecce-faculty-pubs/60
https://ieeexplore.ieee.org/document/7372820
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Institution: Ateneo De Manila University
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spelling ph-ateneo-arc.ecce-faculty-pubs-10592020-08-12T07:59:22Z Wireless power consumption monitoring and analysis system using Winter's forecasting method Enriquez, Dominic Joseph R Villanueva, Marcel Lowell G Dumlao, Samuel Matthew G Reyes, Rosula SJ The Philippines is one of the rising economies in Southeast Asia. However, it is facing a power crisis where there is a continuous increases in an already huge demand in electricity given the limited and scare supply from different power sectors. Consumers are called to be aware of their power consumption and make necessary efforts towards the smart and efficient use of it. As a response, the proponents developed an appliance-level system that monitors and analyzes power consumption. The monitoring subsystem was implemented through a portable hardware black box which includes the power meter sensor, an Arduino microcontroller clone board and a ZigBee shield for wireless transmission to a microcomputer. The Raspberry Pi microcomputer served as a temporary local server for the sync node and the gateway for the data to be stored in an online database. From this, the analysis subsystem retrieves the consolidated data to undergo both retrospective and Winter's forecasting technique. All necessary information, figures and graphs will be presented to the user for interpretation through a simple web application. Overall, the study fulfills its vision of giving people the power over their utility bills by being a tool for raising awareness towards responsibly reducing power consumption to a more efficient use. 2016-01-07T08:00:00Z text https://archium.ateneo.edu/ecce-faculty-pubs/60 https://ieeexplore.ieee.org/document/7372820 Electronics, Computer, and Communications Engineering Faculty Publications Archīum Ateneo Power demand Monitoring Forecasting Wireless communication Wireless sensor networks Zigbee Servers Electrical and Computer Engineering Systems and Communications
institution Ateneo De Manila University
building Ateneo De Manila University Library
continent Asia
country Philippines
Philippines
content_provider Ateneo De Manila University Library
collection archium.Ateneo Institutional Repository
topic Power demand
Monitoring
Forecasting
Wireless communication
Wireless sensor networks
Zigbee
Servers
Electrical and Computer Engineering
Systems and Communications
spellingShingle Power demand
Monitoring
Forecasting
Wireless communication
Wireless sensor networks
Zigbee
Servers
Electrical and Computer Engineering
Systems and Communications
Enriquez, Dominic Joseph R
Villanueva, Marcel Lowell G
Dumlao, Samuel Matthew G
Reyes, Rosula SJ
Wireless power consumption monitoring and analysis system using Winter's forecasting method
description The Philippines is one of the rising economies in Southeast Asia. However, it is facing a power crisis where there is a continuous increases in an already huge demand in electricity given the limited and scare supply from different power sectors. Consumers are called to be aware of their power consumption and make necessary efforts towards the smart and efficient use of it. As a response, the proponents developed an appliance-level system that monitors and analyzes power consumption. The monitoring subsystem was implemented through a portable hardware black box which includes the power meter sensor, an Arduino microcontroller clone board and a ZigBee shield for wireless transmission to a microcomputer. The Raspberry Pi microcomputer served as a temporary local server for the sync node and the gateway for the data to be stored in an online database. From this, the analysis subsystem retrieves the consolidated data to undergo both retrospective and Winter's forecasting technique. All necessary information, figures and graphs will be presented to the user for interpretation through a simple web application. Overall, the study fulfills its vision of giving people the power over their utility bills by being a tool for raising awareness towards responsibly reducing power consumption to a more efficient use.
format text
author Enriquez, Dominic Joseph R
Villanueva, Marcel Lowell G
Dumlao, Samuel Matthew G
Reyes, Rosula SJ
author_facet Enriquez, Dominic Joseph R
Villanueva, Marcel Lowell G
Dumlao, Samuel Matthew G
Reyes, Rosula SJ
author_sort Enriquez, Dominic Joseph R
title Wireless power consumption monitoring and analysis system using Winter's forecasting method
title_short Wireless power consumption monitoring and analysis system using Winter's forecasting method
title_full Wireless power consumption monitoring and analysis system using Winter's forecasting method
title_fullStr Wireless power consumption monitoring and analysis system using Winter's forecasting method
title_full_unstemmed Wireless power consumption monitoring and analysis system using Winter's forecasting method
title_sort wireless power consumption monitoring and analysis system using winter's forecasting method
publisher Archīum Ateneo
publishDate 2016
url https://archium.ateneo.edu/ecce-faculty-pubs/60
https://ieeexplore.ieee.org/document/7372820
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