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Providers and Consumers Mutual Benefits in Energy Efficiency Model with Elements of Cooperative Game Theory

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Future Access Enablers for Ubiquitous and Intelligent Infrastructures (FABULOUS 2019)

Abstract

Energy efficiency is a process under development and execution in all levels of society and economy, mostly driven by the environment protection interests. One of dilemmas in this process is the interest of the electricity provider companies, what kind of model to use in order to secure their profitability and benefits from energy efficiency projects deployment? This paper is presenting an ICT model for energy efficiency, model with scalable development, starting on a level of fundamental and currently available resources. The model is consumer centric and integrates communication tools. Using the approach of cooperative game theory, we are analyzing if this model is beneficial for all stakeholders in energy efficiency chain, the providers and the consumers. Having in mind the diversity of markets for electricity, in our case we deal with the simplest scenario, considering provider – consumer relation in two regimes of electricity network stage, peak and normal load, as the baseline from where the specific commercial cases could be further developed.

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References

  1. Bauso, D.: “Game Theory: Models, Numerical Methods and Applications” - Dipartimento di Ingegneria Chimica. Gestionale, Informatica, Meccanica, Università di Palermo, Foundations and Trends R in Systems and Control 1(4), 379–522 (2014)

    Google Scholar 

  2. Mohsenian-Rad, A.H., Wong, V.W., Jatskevich, J., Schober, R., Leon-Garcia, A.: Autonomous Demand-Side Management Based on Game-Theoretic Energy Consumption Scheduling for the Future Smart Grid. Paper no. TSG-00045-2010 (2010)

    Article  Google Scholar 

  3. Bimbiloski, I., Risteski, A.: Draft Concept for Energy Efficiency Improvements with usage of Smart Phones and Artificial Neural Networks. ETAI 2018, Struga, Macedonia (2018)

    Google Scholar 

  4. Han, S., Lu, Y., Yang, S., Mu, X.: Game Theory-Based Energy Efficiency Optimization in Multi-User Cognitive MIMO Interference Channel. School of Information Engineering, Zhengzhou University, Zhengzhou 450001, China, 2016 IEEE MTT-S International Wireless Symposium (IWS) (2016)

    Google Scholar 

  5. Wei, F., Liu, J.Q., Yang, Z.H., Ni, F.: A game theoretic approach for distributed energy trading in district energy networks. In: 2017 IEEE Conference on Energy Internet and Energy System Integration (EI2)

    Google Scholar 

  6. Mohsenian-Rad, A.-H., Wong, V.W.S., Jatskevich, J., Schober, R.: Optimal and Autonomous Incentive-based Energy Consumption Scheduling Algorithm for Smart Grid. Department of Electrical and Computer Engineering The University of British Columbia, Vancouver, Canada, 2010 Innovative Smart Grid Technologies (ISGT)

    Google Scholar 

  7. Marzband, M., Javadi, M., Domínguez-García, J.L., Moghaddam, M.M.: Non-cooperative game theory based energy management systems for energy district in the retail market considering DER uncertainties. IET Gener. Transm. Distrib. 10(12), 2999–3009 (2016)

    Article  Google Scholar 

  8. Deng, R., Yang, Z., Chen, J., Asr, N.R., Chow, M.Y.: Residential energy consumption scheduling: a coupled-constraint game approach. IEEE Trans. Smart Grid 5(3), 1340–1350 (2014)

    Article  Google Scholar 

  9. Saad, W., Han, Z., Vincent Poor, H., Basar, T.: Game theoretic methods for the smart grid. In: 2012 in IEEE Signal Processing Magazine (2012)

    Google Scholar 

  10. Energy Regulatory Commission of Republic of Macedonia, Electricity Prices (2016)

    Google Scholar 

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Correspondence to Igor Bimbiloski .

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© 2019 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Bimbiloski, I., Rakovic, V., Risteski, A. (2019). Providers and Consumers Mutual Benefits in Energy Efficiency Model with Elements of Cooperative Game Theory. In: Poulkov, V. (eds) Future Access Enablers for Ubiquitous and Intelligent Infrastructures. FABULOUS 2019. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 283. Springer, Cham. https://doi.org/10.1007/978-3-030-23976-3_35

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  • DOI: https://doi.org/10.1007/978-3-030-23976-3_35

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-23975-6

  • Online ISBN: 978-3-030-23976-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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