Design and Development of an Intelligent Ontology-Based Solution for Energy Management in the Home

The rapid development of the people life mode and the electrical devices use, including the search for the man to live in luxury and comfort, led to an uncontrollable consumption of electricity which leads to the allocation of funds to pay the bills for electricity consumed. This current problem requires severe treatment. To this end, we propose this solution to ensure energy saving without neglecting the well-being of individuals. The habitat is a complex, open and distributed systems, it includes a diversity of electrical equipment, which is characterized by a volume important information, which requires a good tool for the representation and treatment of knowledge. Thanks to this work, we try to offer a solution to all the problems mentioned above. This solution is based primarily on the Ontology and the Semantic Web to represent in a formal manner and explicit information that characterize the residential system and its environment. Finally, we chose OWL (Web Ontology Language) as a tool of knowledge representation, the rules SWRL (Semantic Web Rules Language) who have involved in the intelligent aspect of the solution and the “Protege” software for the edition and the update of the data of the habitat and its environment. To evaluate the results of our solution, we applied our solution to the city of Adrar in Algeria.

[1]  N. F. Noy,et al.  Ontology Development 101: A Guide to Creating Your First Ontology , 2001 .

[2]  Nicola Guarino,et al.  Formal ontology, conceptual analysis and knowledge representation , 1995, Int. J. Hum. Comput. Stud..

[3]  Mohamed Lamine Mekhalfi,et al.  Recovering the Sight to blind People in indoor Environments with smart Technologies , 2016, Expert Syst. Appl..

[4]  Bernard Kamsu-Foguem,et al.  Modeling for effective collaboration in telemedicine , 2015, Telematics Informatics.

[5]  Enrique Chavarriaga,et al.  An approach to build XML-based domain specific languages solutions for client-side web applications , 2017, Comput. Lang. Syst. Struct..

[6]  Il-Woo Lee,et al.  A Rule-Based Ontology Reasoning System for Context-Aware Building Energy Management , 2015, 2015 IEEE International Conference on Computer and Information Technology; Ubiquitous Computing and Communications; Dependable, Autonomic and Secure Computing; Pervasive Intelligence and Computing.

[7]  H. Lan,et al.  SWRL : A semantic Web rule language combining OWL and ruleML , 2004 .

[8]  Emma Nehrenheim Introduction to Renewable Energy , 2013 .

[9]  Thomas R. Gruber,et al.  A translation approach to portable ontology specifications , 1993, Knowl. Acquis..

[10]  Timothy W. Finin,et al.  Enabling Technology for Knowledge Sharing , 1991, AI Mag..

[11]  James A. Hendler,et al.  From the Semantic Web to social machines: A research challenge for AI on the World Wide Web , 2010, Artif. Intell..

[12]  M. Coccia Driving Forces of Technological Change: The Relation between Population Growth and Technological Innovation-Analysis of the Optimal Interaction Across Countries , 2014 .

[13]  Djamel Saba,et al.  Contribution to the Management of Energy in the Systems Multi Renewable Sources with Energy by the Application of the Multi Agents Systems “MAS” , 2015 .

[14]  Asunción Gómez-Pérez,et al.  Scheduling ontology development projects , 2016, Data Knowl. Eng..

[15]  W. N. Borst,et al.  Construction of Engineering Ontologies for Knowledge Sharing and Reuse , 1997 .

[16]  Michael Uschold,et al.  Ontologies: principles, methods and applications , 1996, The Knowledge Engineering Review.

[17]  Stefano Paolo Corgnati,et al.  Insights on Smart Home Concept and Occupants’ Interaction with Building Controls , 2017 .

[18]  Anne Håkansson,et al.  A Method of Identifying Ontology Domain , 2014, KES.

[19]  Djamel Saba,et al.  Optimization of a Multi-source System with Renewable Energy Based on Ontology☆ , 2015 .

[20]  Jan L. Harrington Chapter 26 – XML Support , 2016 .

[21]  Derek Clements-Croome,et al.  Building Energy Management Systems , 2017 .

[22]  Fulvio Corno,et al.  DogOnt - Ontology Modeling for Intelligent Domotic Environments , 2008, SEMWEB.

[23]  Irem Dikmen,et al.  Ontology Evaluation: An Example of Delay Analysis☆ , 2014 .

[24]  C. Byrd-Bredbenner,et al.  Promoting healthy home environments and lifestyles in families with preschool children: HomeStyles, a randomized controlled trial. , 2018, Contemporary clinical trials.

[25]  F. Henry Abanda,et al.  PV-TONS: A photovoltaic technology ontology system for the design of PV-systems , 2013, Eng. Appl. Artif. Intell..

[26]  Hyun-Jin Choi,et al.  An ontology-based reasoning approach towards energy-aware smart homes , 2011, 2011 IEEE Consumer Communications and Networking Conference (CCNC).

[27]  María Bermúdez-Edo,et al.  IoT-Lite: A Lightweight Semantic Model for the Internet of Things , 2016, UIC/ATC/ScalCom/CBDCom/IoP/SmartWorld.

[28]  Tomasz Miksa,et al.  Using ontologies for verification and validation of workflow-based experiments , 2017, J. Web Semant..

[29]  Marco Lamanna,et al.  The Rise and Early History of the Term Ontology (1606-1730) , 2009 .

[30]  Carlos Eduardo Cugnasca,et al.  Home automation networks: A survey , 2017, Comput. Stand. Interfaces.

[31]  Asunción Gómez-Pérez,et al.  Methodologies, tools and languages for building ontologies: Where is their meeting point? , 2003, Data Knowl. Eng..

[32]  Djamel Saba,et al.  Development of an ontology-based generic optimisation tool for the design of hybrid energy systems , 2017, Int. J. Comput. Appl. Technol..

[33]  Richard Chbeir,et al.  MSSN-Onto: An ontology-based approach for flexible event processing in Multimedia Sensor Networks , 2020, Future Gener. Comput. Syst..

[34]  Dieter Fensel,et al.  Knowledge Engineering: Principles and Methods , 1998, Data Knowl. Eng..

[35]  Michel Vacher,et al.  Context-aware decision making under uncertainty for voice-based control of smart home , 2017, Expert Syst. Appl..

[36]  Carlos Rodrigues Rocha,et al.  Embedded SCADA for Small Applications , 2016 .