Virtual agent organizations to optimize energy consumption in households
Abstract Global warming affects us all, that is why we must all act to stop it. It has been shown that this undoubted problem can be solved to a large extend if we make small individual efforts. How can we do this? Making prudent use of electricity. If we manage to make more efficient use of the energy we consume in our homes, we will contribute enormously in this common cause. With the help of virtual agents, we will get a better management of the energy we consume.
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López Paredes, A., and Galán Ordax, J. M., 2003. Domestic water management in the Metropolitan Region of Barcelona: A participatory approach, based on agents. University of Valladolid.
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Villar, J. R., de la Cal, E., and Sedano, J., 2007. "Energy saving system using multi-agent systems and fuzzy systems". University of Burgos.
Wang, Shiyong, Wan, Jisafu, Zhang, Daqiang, Li, Di, and Chunhua, Zhang, 2016. Towards smart factory for industry 4.0: a self-organized multi-agent system with big data based feedback and coordination." Computer Networks 101 (2016): 158-168. https://doi.org/10.1016/j.comnet.2015.12.017
Zhao, Peng, Sryanarayanan, Siddharth, Godoy, and Simoes, Marcelo, 2013. An Energy Manage-ment System for Building Structures Using a Multi- Agent Decision-Making Control Methodology". IEEE Transactions on Industry Applications (Volume: 49, Issue: 1, Jan.-Feb. 2013) pp. 322-330. https://doi.org/10.1109/TIA.2012.2229682
Asare-Bediako, B., Kling, W.L., and Ribeiro, P.F., 2013. Multi-agent system architecture for smart home energy management and optimization". 4th IEEE PES international con-ference and exhibition on innovative smart grid technologies (ISGT Europe): 6-13 October 2013, Lyngby, Denmark. https://doi.org/10.1109/ISGTEurope.2013.6695331
Córdobo Magaña, V., and Muñoz Organero, M., 2014. Reducing stress and fuel consumption providing road information. ADCAIJ: Advances in Distributed Computing and Artificial Intelligence Journal, Salamanca, v. 3, n. 4, 35-47, dec. 2014. ISSN 2255-2863. https://doi.org/10.14201/ADCAIJ2014343649
Davidsson, P., 2000. Multi Agent Based Simulation: Beyond Social Simulation. In: Moss, S., and Davidsson, P. (eds.). Multi-Agent-Based Simulation. MABS 2000. Lecture Notes in Computer Science, vol 1979. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-44561-7_7
Errecalde, Marcelo Luis, Lasso, Marta, Villagra, Andrea, Pandolfi Daniel, de San Pedro, M. Eugenia, 2008. Intelligent Buildings: the multi-agent approach. VIII Workshop de Investigadores en Ciencias de la Computación.
Gilart-Iglesias, Virgilio, Marcos-Jorquera, Diego, Gil-Martínez-Abarca, Juan Antonio, Maciá-Pérez, Francisco, Herrera-Quintero, Luis Felipe, and Ferrándiz-Colmeiro, Antonio, 2011. "Embedded Network Management Services. Application to Energy Saving".
Hernandez, Luis, Baladron, Carlos, Aguiar, Javier M., Carro, Belen, Sanchez-Esguevillas, Antonio, Lloret, Jaime, Chinarro, David, Gomez-Sanz, Jorge J, and Cook, Diane, 2013. A Multi-Agent System Architecture for Smart Grid Management and Forecasting of En-ergy Demand in Virtual Power Plants. IEEE Communications Magazine. 51(1):106-113. doi:10.1109/MCOM.2013.6400446. https://doi.org/10.1109/MCOM.2013.6400446
Huberman, Bernardo A., and Clearwater, Scott H., 1995. A Multi-Agent System for Control-ling Building Environments, in Proc. of the International Conference on Multiagent Systems (ICMAS-95), pp. 171-176.
Klein, Laura, Jun-young, kavulya, Geoffrey, Jazizadeh, Farrokh, Becerik-Gerber, Burcin, Varakantham, Pradeep, and Tambe, Milind, 2012. Coordinating occupant behavior for building energy and comfort management using multi-agent systems. Automation in Construction. Volume 22, March, pp. 525-536. https://doi.org/10.1016/j.autcon.2011.11.012
Koen, Kok, Derzsi, Zsofia, Gordijn, Jaap, Hommelberg, Maarten, Warmer, Cor, Kamphuis, Rene, and Akkermans, Hans, 2008. Agent-Based Electricity Balancing with Distributed Energy Resources, A Multiperspective Case Study". Proceedings of the 41st Annual Hawaii International Conference on System Sciences (HICSS 2008), 7-10 Jan. 2008, 10.1109/HICSS.2008.46. https://doi.org/10.1109/HICSS.2008.46
Kok, J.K., Warmer, C.J., and Kamphuis, I.G., 2005. PowerMatcher: multiagent control in the electricity infrastructure. In Proceedings of the fourth international joint conference on Autonomous agents and multiagent systems (AAMAS '05). ACM, New York, NY, USA, 75-82. https://doi.org/10.1145/1082473.1082807
Lagorse, Jeremy, Paire, Damien, and Miraoui, Abdellatif, 2010. A multi-agent system for energy management of distributed power sources. Renewable Energy, Volume 35, Issue 1, January 2010, pp. 174-182. https://doi.org/10.1016/j.renene.2009.02.029
Lagorse. Jeremy, Simoes, Marcelo G., and Miraoui, Abdellatif, 2009. A Multiagent Fuzzy-Logic-Based Energy Management of Hybrid Systems". IEEE Transactions on Indus-try Applications (Volume: 45, Issue: 6, Nov.-dec. 2009). https://doi.org/10.1109/TIA.2009.2031786
López Paredes, A., and Galán Ordax, J. M., 2003. Domestic water management in the Metropolitan Region of Barcelona: A participatory approach, based on agents. University of Valladolid.
Rodríguez Fernandez, J., Pinto, T, Silva, F., Da Silva Praça, I., Vale, Z., and Corchado, J.M., 2019. Context aware Q-Learning-based model for decision support in the T negoti-ation of energy contracts. Electrical Power and Energy Systems. ELSEVIER https://doi.org/10.1016/j.ijepes.2018.06.050
Shokri Gazafroudi, Amin, Soares, Joao, Fotouhi Ghazvini, Mohammad A., Pinto, Tiago, Vale, Zita, and Corchado, Juan M., 2019. Stochastic interval-based optimal offering model for residential energy management systems by household owners. In-ternational Journal of Electrical Power & Energy Systems. In press. ELSEVIER. https://doi.org/10.1016/j.ijepes.2018.08.019
Villar, J. R., de la Cal, E., and Sedano, J., 2007. "Energy saving system using multi-agent systems and fuzzy systems". University of Burgos.
Wang, Shiyong, Wan, Jisafu, Zhang, Daqiang, Li, Di, and Chunhua, Zhang, 2016. Towards smart factory for industry 4.0: a self-organized multi-agent system with big data based feedback and coordination." Computer Networks 101 (2016): 158-168. https://doi.org/10.1016/j.comnet.2015.12.017
Zhao, Peng, Sryanarayanan, Siddharth, Godoy, and Simoes, Marcelo, 2013. An Energy Manage-ment System for Building Structures Using a Multi- Agent Decision-Making Control Methodology". IEEE Transactions on Industry Applications (Volume: 49, Issue: 1, Jan.-Feb. 2013) pp. 322-330. https://doi.org/10.1109/TIA.2012.2229682
Sánchez, E. J., Jaramago, F., & López, M. (2019). Virtual agent organizations to optimize energy consumption in households. ADCAIJ: Advances in Distributed Computing and Artificial Intelligence Journal, 8(1), 37–47. https://doi.org/10.14201/ADCAIJ2019813747
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