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All Journal International Journal of Power Electronics and Drive Systems (IJPEDS) IAES International Journal of Artificial Intelligence (IJ-AI) Bulletin of Electrical Engineering and Informatics
Omar Bouattane
Hassan II university of Casablanca
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Engineering

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A new modular nanogrid energy management system based on multi-agent architecture Meryem Hamidi; Abdelhadi Raihani; Mohamed Youssfi; Omar Bouattane
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 13, No 1: March 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijpeds.v13.i1.pp178-190

Abstract

The emergence of renewable energy sources with controllable loads gave the opportunity to the consumers to build their own Microgrids. However, the intermittence of renewable energy sources such as wind and photovoltaic leads to some challenges in terms of balancing generation and consumption. This paper aims to present a novel multi-agent model based intelligent control scheme to balance the home/building alternative current (AC)-direct current (DC) load demands and renewable energy sources. The new proposed scheme consists of a three-level hierarchical multi agent system based on cooperation, communication and interaction between intelligent agents to fulfill the load's requirements. Then, the proposed multi agent framework is simulated using four different nanogrids to prove its effectiveness using different temporal profiles for loads and generators. The proposed model is designed to be modular, so that it can be considered as a sample from a set of similar modules, assigned to different buildings to allow efficient energy sharing and balancing. The used approach in this concept is inspired from auto-similar systems, which is well suited and easy to implement on multi agent systems. A co-simulation in MATLAB and JAVA/JADE platforms has been performed regarding the production-consumption of the 24 hours baseline period.
Healthcare monitoring system for automatic database management using mobile application in IoT environment Shawki Saleh; Bouchaib Cherradi; Oussama El Gannour; Nissrine Gouiza; Omar Bouattane
Bulletin of Electrical Engineering and Informatics Vol 12, No 2: April 2023
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v12i2.4282

Abstract

In the last decade, healthcare systems have played an effective role in improving medical services by monitoring and diagnosing patients' health remotely. These systems, either in hospitals or in other health centers, have experienced significant growth with emerging technologies. They are becoming of great interest to many countries worldwide nowadays. Portable healthcare monitoring systems (HMS) depend on internet of things (IoT) technology due to its effectiveness and reliability in several sectors, as well as in the sector of telemedicine. This paper proposes a portable healthcare system in an IoT environment controllable via a smartphone application that aims to facilitate utilization. This proposed system can track physiological indicators of a patient's body as well as the environmental conditions where the patient lives in real-time and auto-manage databases. Moreover, this paper touched on a comparison between three servers, concerning data transfer speeds from the proposed system into the servers.
Context-aware micro-escrow for agentic systems with language model validation Ayman Nait Cherif; Mohamed Youssfi; Omar Bouattane
IAES International Journal of Artificial Intelligence (IJ-AI) Vol 15, No 5: October 2026
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijai.v15.i5.pp4039-4052

Abstract

Autonomous agents transacting with each other need an escrow they can trust without a human in the loop. This study propose a context-aware micro-escrow framework for this setting: large language models (LLMs), the model context protocol (MCP), agent-to-agent (A2A) communication, and blockchain smart contracts together support automated, auditable micro-transactions among heterogeneous resource holders such as live application programming interfaces (APIs), internet of things (IoT) sensors, and service providers. Traditional escrow relies on rigid condition checks or a trusted intermediary. This study instead runs a deterministic, checklist-based semantic validation pipeline that emits signed binary verdicts and commits rationale hashes on-chain, so any verdict can be replayed off-chain while on-chain settlement stays minimal. Context travels in cryptographically stamped MCP envelopes; negotiation and evidence streaming run over authenticated A2A channels. An auditing layer computes risk signals from recent settlement metadata and applies a bounded fee surcharge that internalizes monitoring effort and performance drift. The framework is evaluated with a reproducible simulator under benign and adversarial mixes, reporting latency, decision quality (precision and recall under a binary-classifier view), and economic side effects (fee collection and slashing). The results show strong tolerance to malicious providers. Coordinated validator compromise, however, marks a clear trust boundary, motivating validator-side hardening as future work.
Co-Authors Abdelhadi Raihani Ayman Nait Cherif Bouchaib Cherradi Meryem Hamidi Mohamed Youssfi Nissrine Gouiza Oussama El Gannour Shawki Saleh