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
- Amina UTHMAN, Shamsuddeen SULAIMAN, Evaluation of Cost Factors Influencing the Adoption of Sustainable Construction Practices in Abuja, Nigeria , FUDMA Journal of Engineering and Technology: Vol. 1 No. 2 (2025): December 2025
- Mutiat S. YISA, Cross-Regional Energy Strategies: Evaluating Japan’s Power Blueprint for Nigeria’s Needs , FUDMA Journal of Engineering and Technology: Vol. 1 No. 2 (2025): December 2025
- Yusuf T. BAFFA, Muhammad Y. MUHAMMAD, Aliyu SHUAIBU, Enhanced Detection and Classification Models for Distributed Denial-of-Service Using Time-Based Features in Cybersecurity , FUDMA Journal of Engineering and Technology: Vol. 1 No. 2 (2025): December 2025
- Jennifer BALA, Sikiru O. SUBAIRU, Noel M. DOGONYARO, Joseph A. OJENIYI, Suleiman AHMAD, Development of an Optimized Hybrid XGBoost–GRU Model for Detection of Ponzi Schemes in Ethereum Transaction Networks , FUDMA Journal of Engineering and Technology: Vol. 1 No. 2 (2025): December 2025
- Zaharaddeen MUSA, Aliyu BELLO, Haris A. DANLADI, Design and Construction of Dual Input Mobile Solar Generator for Reliable Off-Grid Power , FUDMA Journal of Engineering and Technology: Vol. 1 No. 2 (2025): December 2025
- Abdulkarim AMINU, Mohammed ALIYU, Ibrahim S. MOHAMMED, Iyanda M. ANIMASHAUN, Peter DANIEL, Mohammad USMAN, Production and Optimisation of Parameters for Density and Ash Content of Briquettes Produced from Sorghum Stalks and Groundnut Shells Using African Locust Bean (Parkia biglobosa) Pulp as a Binding Agent , FUDMA Journal of Engineering and Technology: Vol. 1 No. 1 (2025): July 2025
- Olusola K. AKINDE, Abolaji O. ILORI, Habeeb A. ARIKEWUYO, Development of a Wearable Fall Sensing Device for Enhanced Independent Living Among the Elderly , FUDMA Journal of Engineering and Technology: Vol. 1 No. 2 (2025): December 2025
- Muhammad M. HAMIDU, Abubakar M. EL-JUMMAH, Muhammad SHUWA, An Assessment of Power Sources for Improved Energy Supply in University of Maiduguri , FUDMA Journal of Engineering and Technology: Vol. 1 No. 2 (2025): December 2025
- Abubakar L. IBRAHEEM, John K. ALHASSAN, Noel D. MOSES, Suleiman AHMAD, Development of Ensemble SVM–LSTM Model for Phishing Website Detection , FUDMA Journal of Engineering and Technology: Vol. 2 No. 1 (2026): June 2026
- Benjamin T. ABUR, Abubakar A. WARA, David ISAH, Mary D. IGBUR, Catherine N. KWAGHMANDE, Co-Gasification of Sugarcane Bagasse and Coal: A Study on Thermal Characteristics and Efficiency , FUDMA Journal of Engineering and Technology: Vol. 1 No. 2 (2025): December 2025
You may also start an advanced similarity search for this article.
