This study presents an Internet of Things (IoT)-based solution for monitoring and measuring various electrical
parameters in a three-phase power system. The system is intended to address the problem of lack of real-time
remote monitoring and processing of energy consumption data usually associated with the conventional digital
metering system being used in Nigeria’s power distribution networks. The three-phase energy meter was built
with the ESP32 Wi-Fi-enabled microcontroller, which processes input signals from ZMPT101B and ACS712
sensors connected to each phase. These sensors enable acquisition of voltage and current data used for
computation of instantaneous power and energy consumption per phase. The energy data for each of the phases
are streamed wirelessly via the internet to the Google Sheets platform using a Google Service Account and
Goggle Sheets Application Programming Interface (API), enabling seamless real-time cloud-based data
logging capability. The system was tested under varying load conditions and the results demonstrated the
system’s ability in capturing records of all the electrical parameters of interest for all three phases with overall
energy measurement accuracy of 99.1%, average latency of 7ms and system availability of 100%. The system
therefore offers high level of accuracy, reliability, scalability, security and user friendliness.
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