Articles

Browse our published research articles

70 articles
11
Research Article DOI: 10.67203/zjeet.2019.y9b82liu

TIME SERIES WIND SPED PREDICTION WITH ENERGY MAPPING USING HYBRID INTRINSIC MODE FUNCTION (IMF) AND EXTENDED INPUT NEURAL NETWORK (EINN)

S. M. Lawan*, W. A. W. Z. Abidin, T. Masri, F. A. Umari, A.Y. Abdullaahi, S. J. Kawu

Accurate and precise wind speed predictions are a prerequisite requirement that isnecessary before siting of wind turbines. The output power of wind energy system iscompletely depends on the behavior of wind speed; a small deviation of wind speed willlead to large energy losses. This paper presents a new technique for predicting the windspeed based on hybrid model Intrinsic Mode Function (IMF) and...

Sep, 2019 pp. 11-23 17 views 13 downloads
12
Research Article DOI: 10.67203/zjeet.2025.svb9bo1k

Electric Load Forecasting using Machine Learning and Traditional Models: A Review

A. U,Lawan*

Electric load forecasting (ELF) is an essential procedure in the electricity industry's planning, with a significant impact on electric capacity scheduling and power systems management. As a result, it has garnered growing attention from the academic community. Load forecasting has become an essential component of electricity utility firms. In order to ensure uninterrupted and reliable power suppl...

Sep, 2025 pp. 13-29 21 views 9 downloads
13
Research Article DOI: 10.67203/zjeet.2026.vru9apwd

A Hybrid Artificial Intelligence Framework for OTDR-Based Anomaly Detection and Fault Classification in Optical Fibre Networks

Adams Muhammed*

Optical fibre networks constitute the backbone of modern communication infrastructures, making timely and accurate fault diagnosis essential for maintaining network reliability and service availability. Although Optical Time Domain Reflectometer (OTDR) measurements are widely employed for fibre fault localization, manual interpretation of OTDR traces is labor-intensive, time-consuming, and highly ...

Sep, 2026 pp. 14-34 35 views 18 downloads
14
Research Article DOI: 10.67203/zjeet.2024.ocdhf8jo

Comparative Analysis of Conventional Single and Hybrid Photovoltaic Solar Energy System for Off-Grid Rural Electrification

Umar Alhaji Adamu*, Oghenewvagaga Oghorada, Ismaila Mahmud, Mahmud Mustapha, Ibrahim Sabi’u, Ibrahim Bashir Shehu, Simon Wakawa

Renewable energy sources are essential around the globe in power generation with solar photovoltaic energy system as one of the major sources. Lack of access to affordable and reliable power in rural off-grid communities affects their wellbeing in terms of economic and social activities. In Nigeria, over 60% of Nigerian rural communities are not grid connected and lack access to affordable and rel...

Sep, 2024 pp. 17-26 19 views 9 downloads
15
Research Article DOI: 10.67203/zjeet.2021.a7010rc5

A DUAL BAND SNG METAMATERIAL ANTENNA FOR LTE AND WLAN APPLICATIONS

B. D Bala*, S. M. Lawan, Aminu Tijjani, U. Abubakar

In this paper, A dual band single negative (SNG) metamaterial antenna is proposed. The antenna employs a complementary split ring resonator (CSRR) etched on the ground plane for the dual band characteristics. The proposed antenna takes the advantages of infinite wavelength, smaller footprint, and reduced design complexity offered by metamaterials for dual band characteristics. The constitutive par...

Sep, 2021 pp. 17-22 16 views 5 downloads
16
Research Article DOI: 10.67203/zjeet.2023.cb7cvwvt

Experimental Implementation of Arduino-Controlled Solar Powered Washing Machine Prototype

Sadiq I. Shu’aibu*, Isiyaku Abubakar, Nasiru B. Kadandani, Fatima D. Sani, Isaac B. Olaleke

This research is centered on the development of a solar-powered washing machine prototype, expertly controlled by an Arduino microcontroller and featuring a sturdy metal frame, with bucket-based washing and drying processes. This design addresses the global need for a reliable and eco-conscious household appliance in regions with limited access to grid electricity. This research provides an innova...

Sep, 2023 pp. 18-25 23 views 8 downloads
17
Research Article DOI: 10.67203/zjeet.2021.f2dtha3j

DESIGN AND IMPLEMENTATION OF A HANDWRITING TEXT RECOGNITION SYSTEM

A. Musa*

Handwritten characters are difficult to recognize due to diversity of human handwriting style, variation in angle, size and shape of letters. In this work, an extensively employed method of handwritten text recognition is used to transform handwritten data into electronic format or digital form, preprocess, extract distinctive features, and classify written characters. The proposed approach is to ...

Sep, 2021 pp. 23-29 15 views 5 downloads
18
Research Article DOI: 10.67203/zjeet.2019.yxcgc9d1

MODIFIED NARX NETWORK FOR LOW VOLTAGE CONSUMER LOAD PREDICTION

Ayodele Isqeel ABDULLATEEF*, Momoh-jimoh Eyiomika SALAMI, Ismaila Bayo TIJANI, Mosud Taiwo AJALA

This paper is a continuation of our previous work on Nonlinear autoregressive witheXogenous input (NARX) for load prediction. Application of NARX network inreal-time might be difficult since the tapped delay was selected by trial and error,leading to nine hidden neurons which makes the network complex. This NARXnetwork was modified based on Genetic Algorithm (GA) and Differential Evolution(DE) res...

Sep, 2019 pp. 24-32 12 views 5 downloads
19
Research Article DOI: 10.67203/zjeet.2023.fd1bc7wb

Moth Flame Optimization for Optimal Sizing and Placement of Distributed Energy Systems

Abah David Enemali*, I. A. Shehu, Aminu Jibrin Aliyu, Nuraddeen Adam Iliyasu

This paper proposed the application of moth flame optimization algorithm (MFO) for optimal sizing and allocation of multiple distributed generation (DG) units in electrical networks. Recently, there is significant increased penetration level of DGs in electrical networks in order to reduce power losses, improve voltage profile, security and stability of the power system. However, the optimal sizin...

Sep, 2023 pp. 26-35 18 views 4 downloads
20
Research Article DOI: 10.67203/zjeet.2024.1wbdlikq

Optimal Scheduling Scheme of an Autonomous Microgrid Considering the Operational and Maintenance Costs of the Micro-Sources

Abubakar Ahmed*, A.S. Abubakar, Abdullahi Bala Kunya

The solution of the combined Economic-Emission Load Dispatch (EELD) problem of conventional or micro-grid (MG) system entails determination of the optimal power output of dispatchable generating units, to meet the system load, at the lowest possible cost and reduced greenhouse gases emission, subject to some constraints. In most studies, the installation, maintenance and operational costs of renew...

Sep, 2024 pp. 27-36 19 views 11 downloads