E-ISSN 2705-3954 | ISSN 0794-4756
 
2026, Vol: 33, Issue: 1
33 / 1Current Issue Online FirstArchiveAims and ScopeAbstracting & IndexingMost Accessed ArticlesMost Downloaded ArticlesMost Cited Articles

Original Research 


A Smart Inverter Management System with Real-Time Monitoring and Predictive Energy Analytics.

Adetoye Ayokunle Aribisala, Oluwaseun Opeyemi Martins, Festus Charles Akunnuewu, Oluwaseun Alagbe.


Abstract
The increasing adoption of solar photovoltaic systems necessitates efficient inverter management in order to optimize energy production and improve energy utilization in residential environments. This study presents a Smart Inverter Management System (SIMS) that integrates real-time monitoring with predictive analytics to support efficient energy management. The system prototype consists of an ESP32 microcontroller, voltage and current sensors, a relay control module, and connected electrical loads. Sensor data are collected continuously and stored for analysis. A time-series forecasting approach based on a Generalized Additive Model (GAM) implemented using the Prophet framework was adopted to predict future power consumption patterns. The predicted values are integrated into a web-based dashboard that allows users to monitor system status, visualize historical energy consumption, and anticipate future demand. Model evaluation produced a Mean Absolute Error (MAE) of 4.72 and a Root Mean Square Error (RMSE) of 6.56, indicating reasonable forecasting performance for the prototype system. The developed SIMS demonstrates how predictive analytics combined with real-time monitoring can assist users in optimizing energy usage and improving the efficiency of residential inverter systems.

Key words: Smart Inverter, Generalized Addictive Model, Predictive Analytics, Time-series Forecasting, Energy Efficiency


 
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How to Cite this Article
Pubmed Style

Aribisala AA, Martins OO, Akunnuewu FC, Alagbe O. A Smart Inverter Management System with Real-Time Monitoring and Predictive Energy Analytics.. NJE. 2026; 33(1): 75-83.

Web Style

Aribisala AA, Martins OO, Akunnuewu FC, Alagbe O. A Smart Inverter Management System with Real-Time Monitoring and Predictive Energy Analytics.. https://www.njeabu.com.ng/?mno=247319 [Access: June 27, 2026].

AMA (American Medical Association) Style

Aribisala AA, Martins OO, Akunnuewu FC, Alagbe O. A Smart Inverter Management System with Real-Time Monitoring and Predictive Energy Analytics.. NJE. 2026; 33(1): 75-83.


Vancouver/ICMJE Style

Aribisala AA, Martins OO, Akunnuewu FC, Alagbe O. A Smart Inverter Management System with Real-Time Monitoring and Predictive Energy Analytics.. NJE. (2026), [cited June 27, 2026]; 33(1): 75-83.


Harvard Style

Aribisala, A. A., Martins, . O. O., Akunnuewu, . F. C. & Alagbe, . O. (2026) A Smart Inverter Management System with Real-Time Monitoring and Predictive Energy Analytics.. NJE, 33 (1), 75-83.


Turabian Style

Aribisala, Adetoye Ayokunle, Oluwaseun Opeyemi Martins, Festus Charles Akunnuewu, and Oluwaseun Alagbe. 2026. A Smart Inverter Management System with Real-Time Monitoring and Predictive Energy Analytics.. Nigerian Journal of Engineering, 33 (1), 75-83.


Chicago Style

Aribisala, Adetoye Ayokunle, Oluwaseun Opeyemi Martins, Festus Charles Akunnuewu, and Oluwaseun Alagbe. "A Smart Inverter Management System with Real-Time Monitoring and Predictive Energy Analytics.." Nigerian Journal of Engineering 33 (2026), 75-83.


MLA (The Modern Language Association) Style

Aribisala, Adetoye Ayokunle, Oluwaseun Opeyemi Martins, Festus Charles Akunnuewu, and Oluwaseun Alagbe. "A Smart Inverter Management System with Real-Time Monitoring and Predictive Energy Analytics.." Nigerian Journal of Engineering 33.1 (2026), 75-83. Print.


APA (American Psychological Association) Style

Aribisala, A. A., Martins, . O. O., Akunnuewu, . F. C. & Alagbe, . O. (2026) A Smart Inverter Management System with Real-Time Monitoring and Predictive Energy Analytics.. Nigerian Journal of Engineering, 33 (1), 75-83.


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