Token-based scheduling for access guarantee in deregulated electricity markets’ smart grids

References

• Alizadeh, M., Scaglione, A., & Thomas, R. J. (2012). From packet to power switching: Digital direct load scheduling. IEEE Journal on Selected Areas in Communications, 30(6), 1027–1036.
   Web of Science ®Google Scholar
• Anees, A. S. (2012). Grid integration of renewable energy sources: Challenges, issues and possible solutions. In Power Electronics (IICPE), 2012 IEEE 5th India International Conference on (pp. 1-–6). Delhi: IEEE.
   Google Scholar
• Bakr, S., & Cranefield, S. (2013). Optimizing shiftable appliance schedules across residential neighbourhoods for lower energy costs and fair billing. In AIH+ CARE@ AUS-AI, 45–52.
   Google Scholar
• Barbato, A., & Capone, A. (2014). Optimization models and methods for demand-side management of residential users: A survey. Energies, 7(9), 5787–5824.
   Web of Science ®Google Scholar
• Bayar, Y., & Özel, H. A. (2014). Electricity consumption and economic growth in emerging economies. Journal of Knowledge Management, Economics and Information Technology, 4(2), 1–18.
   Google Scholar
• Belson, K. (2008). Lower rates, but not until 10:00pm. New York Times. 21 July 2008. Retrieved December 12, 2016, from http://www.nytimes.com/2008/07/21/nyregion/21peak.html
   Google Scholar
• Braimah, I., & Amponsah, O. (2012). Causes and effects of frequent and unannounced electricity blackouts on the operations of micro and small scale industries in Kumasi. Journal of Sustainable Development, 5(2), 17-36.
   Google Scholar
• Chang, Y. (2007). The new electricity market of singapore: Regulatory framework, market power and competition. Energy Policy, 35(1), 403–412.
   Web of Science ®Google Scholar
• Chathurika, P., Stephens, E. R., Smith, D. B., & Mahanti, A. (2016). A dynamic game for electricity load management in neighborhood area networks. IEEE Transactions on Smart Grid, 7(3), 1329–1336.
   Web of Science ®Google Scholar
• Derin, O., & Ferrante, A. (2010). Scheduling energy consumption with local renewable micro-generation and dynamic electricity prices (Stockholm, Sweden, April 12, 2010). In First Workshop on Green and Smart Embedded System Technology, Infrastructures, Methods, and Tools. Stockholm: ArtistDesign.
   Google Scholar
• Eto, J., Divan, D., & Brumsickle, W. (2004). Pilot evaluation of electricity-reliability and power-quality monitoring in california’s silicon valley with the i-grid (r) system. Berkeley, CA: Lawrence Berkeley National Laboratory.
   Google Scholar
• Hadjipaschalis, I., Poullikkas, A., & Efthimiou, V. (2009). Overview of current and future energy storage technologies for electric power applications. Renewable and Sustainable Energy Reviews, 13(6), 1513–1522.
   Web of Science ®Google Scholar
• Javaid, N., Khan, I., Ullah, M. N., Mahmood, A., & Farooq, M. U. (2013). A survey of home energy management systems in future smart grid communications. In Broadband and Wireless Computing, Communication and Applications (BWCCA), 2013 Eighth International Conference on (pp. 459–464). Campiegne: IEEE.
   Google Scholar
• Kamaludin, M. (2013). Electricity consumption in developing countries. Asian Journal of Research in Social Sciences and Humanities, 2(2), 84–90.
   Google Scholar
• Kimani, M. (2008). Powering up Africa’s economies. Africa Renewal, 22, 3–8.
   Google Scholar
• Kishore, S., & Snyder, L. V. (2010). Control mechanisms for residential electricity demand in smartgrids. In Smart Grid Communications (SmartGridComm), 2010 First IEEE International Conference on (pp. 443–448). IEEE.
   Google Scholar
• Mays, J., & Klabjan, D. (2017). Optimization of time-varying electricity rates. The Energy Journal, 38(5),
   Web of Science ®Google Scholar
• Mediwaththe, C., Stephens, E., Smith, D., & Mahanti, A. (2017). Competitive energy trading framework for demand-side management in neighborhood area networks. IEEE Transactions on Smart Grid, PP(99), 3053–3061. doi:10.1109/TSG.2017.2654517
   Google Scholar
• Mehdi, G., & Roshchin, M. (2015). Electricity consumption constraints for smart-home automation: An overview of models and applications. Energy Procedia, 83, 60–68.
   Google Scholar
• Mesarić, P., & Krajcar, S. (2015). Home demand side management integrated with electric vehicles and renewable energy sources. Energy and Buildings, 108(2015), 1–9.
   Google Scholar
• Negeri, E., & Baken, N. (2012). Distributed storage management using dynamic pricing in a self-organized energy community. Self-Organizing Systems, 1–12.
   Google Scholar
• Rajeev, T., & Ashok, S. (2014). Demand management of electric vehicle charging based on a cloud computing framework. In Transportation Electrification Asia-Pacific (ITEC Asia-Pacific), 2014 IEEE Conference and Expo (pp. 1–4). Beijing: IEEE.
   Google Scholar
• Sambo, A. S., Garba, B., Zarma, I. H., & Gaji, M. M. (2012). Electricity generation and the present challenges in the Nigerian power sector. Journal of Energy and Power Engineering, 6(7), 1050
   Google Scholar
• Snow, S., & Brereton, M. (2012). Beyond demand management: The value of sharing electricity information. In Proceedings of the 26th Annual BCS Interaction Specialist Group Conference on People and Computers (pp. 392–397). Birmingham: British Computer Society.
   Google Scholar
• Vandaele, N., & Porter, W. (2015). Renewable energy in developing and developed nations: Outlooks to 2040. Journal of Undergraduate Research, 15(3), 1–7.
   Google Scholar
• Vehbi, C., Sahin, D., Kocak, T., Ergut, S., Buccella, C., Cecati, C., & Hancke, G. P. (2011). Smart grid technologies: Communication technologies and standards. IEEE Transactions on Industrial Informatics, 7(4), 529–539.
   Web of Science ®Google Scholar
• Zipperer, A., Aloise-Young, P. A., Suryanarayanan, S., Roche, R., Earle, L., Christensen, D., ... Zimmerle, D. (2013). Electric energy management in the smart home: Perspectives on enabling technologies and consumer behavior. Proceedings of the IEEE, 101(11), 2397–2408.
   Web of Science ®Google Scholar