Oriental Journal of Computer Science and Technology

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Virtual Agent Organizations to Optimize Energy Consumption in Households


Affiliations
1 BISITE Digital Innovation Hub, University of Salamanca. Edificio Multiusos I+D+i, 37007, Salamanca, Spain
2 Department of Electronics, Information and Communication, Faculty of Engineering, Osaka Institute of Technology, 535-8585 Osaka, Japan
 

Sadly, not everyone agrees with this scientifically proven fact; there are many sceptics around the world who deny the very existence of global warming or the idea of humans being able to positively or negatively influence these changes. However, it has been proven that this undoubtedly complex problem can be resolved to a large degree if we individually take measures in the correct direction. Simple solutions, such as saving and using our energy in a more efficient way at home will have a positive impact on reducing the adverse effects of climate change on our planet. Some proposals were aimed at using energy in buildings more efficiently. This solution makes it possible to reduce electricity bills, accounting for around 70% of the annual bill payment. On the basis of these factors temperature can be adjusted to reduce unnecessary energy consumption while maintaining the residents’ comfort.
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  • Mozer, M. C. (1998). The neural network house: An environment hat adapts to its inhabit-ants. In Proc. AAAI Spring Symp. Intelligent Environments (Vol. 58)

  • Hoes, P., Hensen, J. L. M., Loomans, M. G. L. C., De Vries, B., & Bourgeois, D. (2009). User behavior in whole building simulation. Energy and buildings, 41(3), 295-302.

  • Gonzalez-Briones, A., Prieto, J., De La Prieta, F., Herrera-Viedma, E., & Corchado, J. M. (2018). Energy Optimization Using a Case-Based Reasoning Strategy. Sensors, 18(3), 865.

  • Gonzalez-Briones, A., Chamoso, P., Yoe, H., & Corchado, J. M. (2018). GreenVMAS: Virtual Organization Based Platform for Heating Greenhouses Using Waste Energy from Power Plants. Sensors, 18(3), 861.


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  • Virtual Agent Organizations to Optimize Energy Consumption in Households

Abstract Views: 230  |  PDF Views: 0

Authors

Alfonso Gonzalez-Briones
BISITE Digital Innovation Hub, University of Salamanca. Edificio Multiusos I+D+i, 37007, Salamanca, Spain
Juan M. Corchado
Department of Electronics, Information and Communication, Faculty of Engineering, Osaka Institute of Technology, 535-8585 Osaka, Japan

Abstract


Sadly, not everyone agrees with this scientifically proven fact; there are many sceptics around the world who deny the very existence of global warming or the idea of humans being able to positively or negatively influence these changes. However, it has been proven that this undoubtedly complex problem can be resolved to a large degree if we individually take measures in the correct direction. Simple solutions, such as saving and using our energy in a more efficient way at home will have a positive impact on reducing the adverse effects of climate change on our planet. Some proposals were aimed at using energy in buildings more efficiently. This solution makes it possible to reduce electricity bills, accounting for around 70% of the annual bill payment. On the basis of these factors temperature can be adjusted to reduce unnecessary energy consumption while maintaining the residents’ comfort.

References