IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v13y2021i15p8662-d607651.html
   My bibliography  Save this article

Coalition Formation among the Cooperative Agents for Efficient Energy Consumption

Author

Listed:
  • Areej A. Malibari

    (Faculty of Computing and Information Technology, King Abdulaziz University, Jeddah P.O.Box 80200, Saudi Arabia)

  • Daniyal Alghazzawi

    (Faculty of Computing and Information Technology, King Abdulaziz University, Jeddah P.O.Box 80200, Saudi Arabia)

  • Maha M. A. Lashin

    (College of Engineering, Princess Nourah bint Abdulrahman University, Riyadh P.O.Box 11671, Saudi Arabia
    Mechanical Engineering Department, Faculty of Engineering Shoubra, Banha University, Cairo 13511, Egypt)

Abstract

Energy saving is a significant research area in Saudi Arabia; however, significant problems have emerged related to its distribution and consumption. Use of an agent is assumed to combat these problems by forming efficient coalitions to control the energy consumption and energy distribution process. This study presents a novel algorithm for distributing the value calculation among the cooperative agents. This is likely to reduce the consumption of energy and extend the coalition lifetime used. The developed algorithm is compared with the basic modified coalition formation algorithm for evaluating its effectiveness. The results showed a reduction in cooling consumption by 20% after applying optimization algorithms. The amount of reduction in the cooling consumption reflects a 31% reduction in expected cooling costs, without affecting the household comfort. Therefore, the study concludes that DNsys provided better performance than the NNsys.

Suggested Citation

  • Areej A. Malibari & Daniyal Alghazzawi & Maha M. A. Lashin, 2021. "Coalition Formation among the Cooperative Agents for Efficient Energy Consumption," Sustainability, MDPI, vol. 13(15), pages 1-18, August.
  • Handle: RePEc:gam:jsusta:v:13:y:2021:i:15:p:8662-:d:607651
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/13/15/8662/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/13/15/8662/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Krzysztof R. Apt & Andreas Witzel, 2009. "A Generic Approach To Coalition Formation," International Game Theory Review (IGTR), World Scientific Publishing Co. Pte. Ltd., vol. 11(03), pages 347-367.
    2. Gabrielle Demange & Wooders Myrna, 2005. "Group Formation in Economics: Networks, Clubs and Coalitions," Post-Print halshs-00576778, HAL.
    3. Brian O’Regan & Fabio Silva & Eoin O’Leidhin & Farah Tahir & Karen Mould & Barry Hayes & Vahid Hosseinnezhad & Ruzanna Chitchyan & Padraig Lyons, 2021. "P2P, CSC and TE: A Survey on Hardware, Software and Data," Energies, MDPI, vol. 14(13), pages 1-21, June.
    4. Prakash Chauhan & Sanjib K. Deka & Bijoy Chand Chatterjee & Nityananda Sarma, 2021. "Utility driven cooperative spectrum sensing scheduling for heterogeneous multi-channel cognitive radio networks," Telecommunication Systems: Modelling, Analysis, Design and Management, Springer, vol. 78(1), pages 25-37, September.
    5. Demange,Gabrielle & Wooders,Myrna (ed.), 2005. "Group Formation in Economics," Cambridge Books, Cambridge University Press, number 9780521842716.
    6. Taleb, Hanan M. & Sharples, Steve, 2011. "Developing sustainable residential buildings in Saudi Arabia: A case study," Applied Energy, Elsevier, vol. 88(1), pages 383-391, January.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Jean-François Caulier & Michel Grabisch & Agnieszka Rusinowska, 2015. "An allocation rule for dynamic random network formation processes," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 60(2), pages 283-313, October.
    2. Demange, Gabrielle, 2012. "On party-proportional representation under district distortions," Mathematical Social Sciences, Elsevier, vol. 63(2), pages 181-191.
    3. Ana Mauleon & Huasheng Song & Vincent Vannetelbosch, 2010. "Networks of Free Trade Agreements among Heterogeneous Countries," Journal of Public Economic Theory, Association for Public Economic Theory, vol. 12(3), pages 471-500, June.
    4. Alberto Alesina & Eliana La Ferrara, 2003. "Ethnic Diversity and Economic Performance," Harvard Institute of Economic Research Working Papers 2028, Harvard - Institute of Economic Research.
    5. Sommarat Chantarat & Christopher Barrett, 2012. "Social network capital, economic mobility and poverty traps," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 10(3), pages 299-342, September.
    6. in 't Veld, Daan & van der Leij, Marco & Hommes, Cars, 2020. "The formation of a core-periphery structure in heterogeneous financial networks," Journal of Economic Dynamics and Control, Elsevier, vol. 119(C).
    7. Herings, P. Jean-Jacques & Mauleon, Ana & Vannetelbosch, Vincent, 2009. "Farsightedly stable networks," Games and Economic Behavior, Elsevier, vol. 67(2), pages 526-541, November.
    8. Alexandre Belloni & Changrong Deng & Saša Pekeč, 2017. "Mechanism and Network Design with Private Negative Externalities," Operations Research, INFORMS, vol. 65(3), pages 577-594, June.
    9. Elsner, Wolfram & Heinrich, Torsten, 2009. "A simple theory of 'meso'. On the co-evolution of institutions and platform size--With an application to varieties of capitalism and 'medium-sized' countries," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 38(5), pages 843-858, October.
    10. Sihua Ding & Marcin Dziubiński & Sanjeev Goyal, 2021. "Clubs and Networks," Working Papers 20210073, New York University Abu Dhabi, Department of Social Science, revised Dec 2021.
    11. Calvó-Armengol, Antoni & Patacchini, Eleonora & Zenou, Yves, 2005. "Peer Effects and Social Networks in Education and Crime," Working Paper Series 645, Research Institute of Industrial Economics.
    12. Manel Antelo & Lluís Bru, 2018. "On the stability of buyer groups under key account management," SERIEs: Journal of the Spanish Economic Association, Springer;Spanish Economic Association, vol. 9(2), pages 189-214, June.
    13. Besley, Timothy & Ghatak, Maitreesh, 2010. "Property Rights and Economic Development," Handbook of Development Economics, in: Dani Rodrik & Mark Rosenzweig (ed.), Handbook of Development Economics, edition 1, volume 5, chapter 0, pages 4525-4595, Elsevier.
    14. Robin Cowan & Nicolas Jonard & Jean-Benoit Zimmermann, 2007. "Bilateral Collaboration and the Emergence of Innovation Networks," Management Science, INFORMS, vol. 53(7), pages 1051-1067, July.
    15. Wooders, Myrna, 2008. "Market games and clubs," MPRA Paper 33968, University Library of Munich, Germany, revised Dec 2010.
    16. Olivier Tercieux & Vincent Vannetelbosch, 2006. "A characterization of stochastically stable networks," International Journal of Game Theory, Springer;Game Theory Society, vol. 34(3), pages 351-369, October.
    17. Matthew O. Jackson & Brian W. Rogers & Yves Zenou, 2017. "The Economic Consequences of Social-Network Structure," Journal of Economic Literature, American Economic Association, vol. 55(1), pages 49-95, March.
    18. Syngjoo Choi & Douglas Gale & Shachar Kariv, 2012. "Social learning in networks: a Quantal Response Equilibrium analysis of experimental data," Review of Economic Design, Springer;Society for Economic Design, vol. 16(2), pages 135-157, September.
    19. Ferris, Stephen P. & Javakhadze, David & Rajkovic, Tijana, 2017. "CEO social capital, risk-taking and corporate policies," Journal of Corporate Finance, Elsevier, vol. 47(C), pages 46-71.
    20. Ngoc M. Nguyen & Lionel Richefort & Thomas Vallée, 2020. "Endogenous formation of multiple social groups," Journal of Public Economic Theory, Association for Public Economic Theory, vol. 22(5), pages 1368-1390, September.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:13:y:2021:i:15:p:8662-:d:607651. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.