Consumer Perceptions of Artificial Intelligence (AI)-Driven Smart Grids and Energy Efficiency in Northwest Nigeria’s Power Distribution Sector: A Multi-State Case Study of Sokoto, Kebbi, and Zamfara
- Authors
-
-
Victor A. NSABA
Technical Education Department, Federal College of Education, Gidan Madi, Sokoto State, Nigeria; Department of Electrical and Electronic Engineering, University of Jos, Jos, Nigeria
Author
-
Sabiu B. YUSUF
Technical Education Department, Federal College of Education, Gidan Madi, Sokoto State, Nigeria; Department of Mechatronics and Systems Engineering, Abubakar Tafawa Balewa University, Bauchi, Nigeria
Author
-
Kafayat A. IBRAHIM
Technical Education Department, Federal College of Education, Gidan Madi, Sokoto State, Nigeria; Department of Electrical and Electronic Engineering, Abubakar Tafawa Balewa University, Bauchi, Nigeria
Author
-
- Keywords:
- Automated fault detection, Energy efficiency, Renewable energy integration, Smart grids, Smart metering.
- Abstract
-
This study examines consumer perceptions of Artificial Intelligent driven smart grid technologies and their implications for energy efficiency in Northwest Nigeria’s power distribution sector, with specific focus on Sokoto, Kebbi and Zamfara States. The study investigates the impact of smart metering technology, automated fault detection and restoration systems and AI-driven renewable energy integration on perceived energy efficiency. A quantitative survey design was adopted and data were collected from 100 electricity consumers across the three selected states. The data were analyzed using descriptive statistics, Bayesian correlation and multiple regression techniques. The findings reveal that smart metering technology has the strongest positive influence on perceived energy efficiency (β = 0.636, p < .001). Automated fault detection and restoration systems also demonstrate a significant positive effect (β = 0.375, p < .001), while AI-driven renewable energy integration significantly enhances perceptions of grid stability and efficiency (β = 0.414, p < .001). The regression model shows strong explanatory power (R = .865, F (3,97) = 96.086, p < .001). The study concludes that AI-driven technologies play an important role in shaping consumer confidence in electricity distribution within the selected case study states. Strengthening consumer awareness, improving infrastructure, and ensuring effective implementation of smart grid solutions will be essential for achieving sustainable improvements in Nigeria’s power sector.
- References
- Downloads
- Published
- 23-03-2026
- Section
- Articles
- License
-
Copyright (c) 2026 FUDMA Journal of Engineering and Technology

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
How to Cite
Similar Articles
- Abdulrahman S. USMAN, Folorunsho ABERUAGBA, Moses A. OLUTOYE, Umar MUSA, Mohammed ALHASSAN, Calcium Oxide Derived from Okpella Limestone as a Heterogeneous Catalyst for Biodiesel Production: Synthesis, Characterisation and Stability Assessment , FUDMA Journal of Engineering and Technology: Vol. 1 No. 2 (2025): December 2025
- Benedict O. EDENSETING, Innocent O. OBOH, Alexander A. JOCK, Effective Food Waste Utilization: A Veritable Source of Biofuel for Nigerian Economic Sustenance and Development - A Review , FUDMA Journal of Engineering and Technology: Vol. 1 No. 1 (2025): July 2025
- Olawale J. OLALUYI, Johnson O. ADEOGO, Adeniyi O. AJIBOYE, Mayowa O. ORESELU, Olarewaju T. OGINNI, Application of Machine Learning for Enhancing Fake Logo Detection , FUDMA Journal of Engineering and Technology: Vol. 1 No. 2 (2025): December 2025
- Damilare L. ADEKEYE, Uche M. IROKA, A Microcontroller-Based Intelligent Electricity Theft Detection and Prevention System , FUDMA Journal of Engineering and Technology: Vol. 1 No. 2 (2025): December 2025
- Abubakar LAWAL, Abdulkadir O. ABDULBAKI, Nathaniel SALAWU, Bala A. SALIHU, Mamman A. THOMAS, Abraham U. USMAN, Sub-6 GHz Millimeter-Wave Metamaterial Antenna with Reconfigurable Radiation Patterns for Enhanced Wireless Communication , FUDMA Journal of Engineering and Technology: Vol. 1 No. 2 (2025): December 2025
- Ojochide P. DAMIAN, Fadimatu N. DABAI, Abdulwasiu ABDURRAHMAN, Kamiludeen OLANREWAJU, Bilyamin ABDULMUMIN, Grace A. OLUGBENGA, A Simulation-Driven Strategy for Improved Expandable Polystyrene Synthesis via Multi-Stage Initiator Dosing , FUDMA Journal of Engineering and Technology: Vol. 1 No. 2 (2025): December 2025
- Habib I. ABDULAZEEZ, Bala ABDULLAHI, Abdullahi AHMED, Ibrahim A. TUKUR, Experimental Investigation of Solar Photovoltaic Tilt Angles for Maximum Energy Harvest in Kogi State, Nigeria , FUDMA Journal of Engineering and Technology: Vol. 1 No. 2 (2025): December 2025
- Munir A. ADEWOYE, Ahmed ALIYU, Usman A. ALI, Abdulrasheed JIMOH, Blockchain-Based Food Supply Chain Traceability: A Systematic Review of Privacy Preserving and Scalability , FUDMA Journal of Engineering and Technology: Vol. 2 No. 1 (2026): June 2026
- Osagie I. IHENYEN, Raymond A. EKEMUBE, Development of an Agro-Waste Diesel Engine Powered Shredding Machine , FUDMA Journal of Engineering and Technology: Vol. 1 No. 2 (2025): December 2025
- Shamsuddeen J. AHMAD, Saifullahi S. SADI, Muhammad M. AHMAD, Abdullahi D. UMAR, Shamsuddeen USMAN, Comparative Analysis of Machine Learning Algorithms for the Detection and Classification of Suspicious Emails , FUDMA Journal of Engineering and Technology: Vol. 1 No. 2 (2025): December 2025
You may also start an advanced similarity search for this article.
