Algerian Journal of electrical systems and sustainability

The Bluetooth-Based Smart Doorbell System for Hearing- Impaired Users Muhammed Emin Kutluca1,

2026-03-15T17:33:36+08:00

This study introduces a smart doorbell system that enhances the safety and independence of hearing-impaired
individuals. The system delivers customizable vibration and light-based notifications through a mobile application,
ensuring that users are promptly informed of visitors at their door. In addition to real-time alerts, notifications are
stored in the app for later review, and a backup power supply ensures uninterrupted operation during electricity
outages.
The system was validated through both simulation and real-world testing, confirming stable performance, quick
response times, and reliable wireless communication. Designed to be affordable and energy-efficient, the proposed
solution not only improves daily convenience for hearing-impaired individuals but also offers potential for wider
use in assistive technology applications.

10 Solar PV Development in Algeria: Status and Prospects

2026-03-15T17:40:10+08:00

This article presents a comprehensive analysis of solar photovoltaic (PV) energy development in Algeria within
the global renewable energy transition context. Algeria possesses one of the highest solar potentials, with annual
irradiation reaching 2263 kWh/m² in southern regions. The country has launched an ambitious renewable energy
program targeting 15,000 MW of solar electricity capacity by 2035, aiming for 30% renewable energy in the
national mix. Through a methodological approach combining secondary data analysis and economic assessment,
this study examines the evolution of installed PV capacity, which reached 356.1 MW by 2021, and analyzes the
recent launch of 3000 MW PV parks in 2024. The research highlights a projected 57% decrease in installation
costs by 2025 and discusses critical challenges related to grid integration, economic competitiveness, and energy
subsidy impacts. The analysis concludes that despite existing obstacles, solar PV represents a crucial opportunity
for Algeria's energy transition, with specific policy recommendations provided to support sustainable development
goals.

Maximization Power of Photovoltaic Panels with Improved Perturb & Observe MPPT Algorithm

2026-03-15T17:44:31+08:00

In this work, it is presented maximization power algorithm for photovoltaic panels to increase power and
efficiency when the system is exposed to various weather conditions. For this study, the maximum power point
tracking (MPPT) strategy used is the improved perturbation-observation strategy (IP&O) with variable step for
the perturbation of the voltage which make possible to avoid oscillations when using the classical Peturb. &
Observ. (P&O) algorithm. To determine the instantaneous electrical characteristics of photovoltaic modules
under various weather conditions, simulation. To evaluate the performance of solar panels exposed to varying
conditions, various comparisons have been presented. Firstly, by making a comparison between the two methods
was presented. The findings demonstrate how

Industrialization in Algeria: From Policy to Systems Execution

2026-03-15T17:56:37+08:00

Algeria sits at an inflection point: abundant mineral resources, large gas reserves, strong solar potential and a
favorable position at the southern rim of the Mediterranean present an opportunity to diversify its industrial base
beyond hydrocarbons. Ambitious infrastructure projects — mining rail links, special economic zones (SEZs) and a
national hydrogen roadmap — create the strategic canvas. Yet policy and resource endowments alone will not
deliver competitive factories or resilient corridors. This article argues that Algeria needs to embed four execution
capabilities — (1) professional project governance (PMOs), (2) rigorous facilities design & planning, (3) factoryphysics
operational discipline, and (4) systems engineering (MBSE and lifecycle integration) — to transform
strategy into reliable industrial output at competitive cost and low carbon intensity. We analyze Algeria’s industrial
trajectory, translate the four levers into practical practices and metrics, illustrate with an Algeria-focused vignette,
and close with a prioritized ten-point agenda for government, clusters and firms. Where relevant, we reference
official policies and international standards to ground recommendations.

AI-Driven Cyber-attack Detection and Mitigation Algorithm for the MG-FARM Project

2026-03-15T18:03:54+08:00

The integration of Internet of Things (IoT), Artificial Intelligence (AI), and renewable-energy micro-grids within
the MG-FARM platform offers a transformative approach to enhancing agricultural productivity, energy
efficiency, and sustainability in remote regions. While this digital-agricultural convergence enables optimized
management of energy, water, and crop systems, it also increases exposure to cyber threats capable of disrupting
critical operations such as irrigation scheduling, water pumping, and micro-grid control. Addressing these
challenges, this paper introduces a novel AI-driven intrusion detection and mitigation algorithm specifically
designed for MG-FARM. The proposed solution combines machine learning-based anomaly detection with
resilient control strategies, incorporating real-time sensor data validation, network traffic monitoring, and
adaptive response mechanisms. These features ensure service continuity and operational stability even under
malicious attack scenarios. Extensive simulations and case studies validate the approach, demonstrating its
capacity to detect and neutralize false data injection (FDI) and denial-of-service (DoS) attacks. Results indicate a
32% improvement in system resilience compared to conventional rule-based methods, underscoring the critical
role of ontology-aware, AI-enhanced cyber security frameworks in securing next-generation smart farming
infrastructures.