Djamel Saba

Djamel Saba

orcid

Research Focus & Metrics

Academic Career Length

12Years (2015-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 August 2015 in Energy Procedia
Verified
Journal Article
Open access
DSDjamel Saba
Djamel Saba
FLFatima Zohra Laallam
Fatima Zohra Laallam
HADIDI ABDELKADERHADIDI ABDELKADER
HADIDI ABDELKADER
BBBrahim Berbaoui
Brahim Berbaoui
This article presents a contribution to the optimization of a multi sources system with renewable energy system.Following the limits of conventional design methods in the reasoning aspect, also renewable energy hybrid systems are distributed nature, open and includes huge detail information needs a formal representation and a shared conceptualization by dynamic contribution to the change in weather conditions of installation site of hybrid system. We propose an approach based on hybridization between sizing techniques and ontology domain. The introduction of ontology in such systems allows the shared knowledge representation of a common area of a unit. Moreover, these will conceptualization of knowledge that can be updated without changing the system goals.The aim of the work presented in this paper is essentially the conceptualization of the ontology after the presentation of the proposed approach. “Protege2000”is used for editing the ontology. The purpose of this work is a knowledge base which contains a representation of all concepts and informational system details

1 August 2015 in Energy Procedia
Verified
Journal Article
Open access
DSDjamel Saba
Djamel Saba
FLFatima Zohra Laallam
Fatima Zohra Laallam
HADIDI ABDELKADERHADIDI ABDELKADER
HADIDI ABDELKADER
BBBrahim Berbaoui
Brahim Berbaoui
Given the current energy challenge, renewable energy appear as a real and strategic solution for electricity generation, but the intermittent nature this type of energy we forced to combine at least two power sources to ensure continuity in supply of electricity.Typically multi-source renewable energy systems are managed by centralized approaches, but the limit of these approaches in several aspects such as the dynamic aspect management of system, integration or cancellation of one or more elements we require seek other more reliable approaches for the management of multi-source renewable energy systems.The proposed solution is an integration of Multi Agent Systems “MAS” in energy management, this discipline is the connection of several fields such as artificial intelligence, distributed computing systems and software engineering. “MAS” it is discipline that focuses on collective behaviors produced by the interactions of several autonomous entities called agents, these interactions revolve around cooperation, competition or coexistence between these agents, introducing the issue of collective intelligence and the emergence of structures interactions

24 July 2019
Verified
Book Chapter
Closed access
PDF file
DSDjamel Saba
Djamel Saba
YSYoucef Sahli
Youcef Sahli
BBBrahim Berbaoui
Brahim Berbaoui
RMRachid Maouedj
Rachid Maouedj

1 January 2017 in International Journal of Computer Applications in Technology
Verified
Journal Article
Closed access
DSDjamel Saba
Djamel Saba
FLFatima Zohra Laallam
Fatima Zohra Laallam
HBHocine Belmili
Hocine Belmili
FAFonbeyin Henry Abanda
Fonbeyin Henry Abanda
ABAhmed Bouraiou
Ahmed Bouraiou
The reliability and cost of energy systems and diversity of weather are the two main concerns for Hybrid Energy Systems (HES) optimisation in the face of energy scarcity. Many techniques for sizing and optimisation of such systems have been developed. However, these techniques are developed independently of each other and require end-users to know a priori the techniques to use as well as data inputs of each. There is no sharing of data between the various techniques although they can use the same data. The novelty of this study is to develop an ontology-based system that offers the end-user an optimal design solution without having to know in advance the optimisation techniques. To that effect, we present an ontology-based generic tool that includes most used energy sources for optimising HES. The proposed tool has been applied and tested on an isolated wind-photovoltaic hybrid power system with battery storage.

1 September 2020
Verified
Book Chapter
Closed access
PDF file
AHAbdelkader Hadidi
Abdelkader Hadidi
DSDjamel Saba
Djamel Saba
YSYoucef Sahli
Youcef Sahli

24 September 2020
Verified
Book Chapter
Closed access
PDF file
DSDjamel Saba
Djamel Saba
YSYoucef Sahli
Youcef Sahli
AHAbdelkader Hadidi
Abdelkader Hadidi