TY - GEN
T1 - Internet of Things (IoT)-based Power Meter Reading
AU - Slamet,
AU - Hermawan, Lambang Nur
AU - Hidayat, Nurul
AU - Zubaidah, Siti
N1 - Publisher Copyright:
© 2021 KIEE & EMECS.
PY - 2021
Y1 - 2021
N2 - This paper presents an efficient, cost-effective, reliable power meter reading to AC power monitor in real time consumed by local and remote load. It is deemed important for consumers to understand their household energy consumption. Thus, the consumers are capable of identifying the energy saving, thereby requiring a real time energy monitoring system to provide feedback to consumers. This monitoring system is utilized to analyze and evaluate the output voltage, current, frequency or energy generated from a household appliance. A hardware device is utilized to gather energy data passed and stored to a database through PLX-DAQ resources. These resources are further applied by the web application to display such a real-time and historical energy reading. The developed energy monitoring system has an accuracy rate of 94% to obtain the correct energy consumption through testing with the rice cooker and experiment with the AC load, indicating the energy monitoring accuracy rate of 95%. The results of user's feedback during testing provides insights to supplementary features proving the usefulness of the energy monitoring system.
AB - This paper presents an efficient, cost-effective, reliable power meter reading to AC power monitor in real time consumed by local and remote load. It is deemed important for consumers to understand their household energy consumption. Thus, the consumers are capable of identifying the energy saving, thereby requiring a real time energy monitoring system to provide feedback to consumers. This monitoring system is utilized to analyze and evaluate the output voltage, current, frequency or energy generated from a household appliance. A hardware device is utilized to gather energy data passed and stored to a database through PLX-DAQ resources. These resources are further applied by the web application to display such a real-time and historical energy reading. The developed energy monitoring system has an accuracy rate of 94% to obtain the correct energy consumption through testing with the rice cooker and experiment with the AC load, indicating the energy monitoring accuracy rate of 95%. The results of user's feedback during testing provides insights to supplementary features proving the usefulness of the energy monitoring system.
UR - http://www.scopus.com/inward/record.url?scp=85123920531&partnerID=8YFLogxK
U2 - 10.23919/ICEMS52562.2021.9634300
DO - 10.23919/ICEMS52562.2021.9634300
M3 - Conference contribution
AN - SCOPUS:85123920531
T3 - ICEMS 2021 - 2021 24th International Conference on Electrical Machines and Systems
SP - 680
EP - 684
BT - ICEMS 2021 - 2021 24th International Conference on Electrical Machines and Systems
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 24th International Conference on Electrical Machines and Systems, ICEMS 2021
Y2 - 31 October 2021 through 3 November 2021
ER -