Abstract
In the paper, we present the tips service and water diary, which are the modules of the mobile decision support system (DSS) for the efficient water usage at households. This system is a part of the Integrated Support System for Efficient Water Usage and resources management (ISS-EWATUS). The DSS at the household level is aimed at provoking the usage of the water more effective. Therefore, the tip service was designed and implemented. Tips are generated for each household as a result of the analysis of the previously gathered data concerning water consumption. In order to enhance and to personalise the influence of the DSS, the water diary was created. The water diary gives the possibility to members of the household to follow to identify their own water consumption measurement separately. Additionally, the water consumption data are presented to them as charts in the various views. The DSS was validated and accepted at 40 households in Poland and Greece.
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References
Al-Hoqani, N., Yang, S.H.: Adaptive sampling for wireless household water consumption monitoring. Procedia Eng. 119, 1356–1365 (2015)
Chen, X., Yang, S.H., Yang, L., Chen, X.: A benchmarking model for household water consumption based on adaptive logic networks. Procedia Eng. 119, 1391–1398 (2015)
Froelich, W.: Forecasting daily urban water demand using dynamic Gaussian Bayesian network. In: International Conference: Beyond Databases, Architectures and Structures, pp. 333–342. Springer (2015)
Froelich, W., Magiera, E.: Forecasting domestic water consumption using bayesian model. In: Proceedings of the 8th KES International Conference on Intelligent Decision Technologies (KES-IDT 2016), pp. 337–346. Springer (2016)
Gentleman, R., Ihaka, R., Bates, D., et al.: The R project for statistical computing (1997). http://www.r-project.org
Magiera, E., Froelich, W.: Integrated support system for efficient water usage and resources management (ISS-EWATUS). Procedia Eng. 89, 1066–1072 (2014)
Magiera, E., Froelich, W., Jach, T., Kurcius, Ł., Berbeka, K., Bhulai, S., Kokkinos, K., Papageorgiou, E., Laspidou, C., Yang, L., Perren, K., Yang, S.H., Capiluppi, A., El-Jamal, S., Wang, Z.: ISS-EWATUS an example of integrated system for efficient water management. In: Proceedings of the conference Computing and Control for Water Industry (CCWI), Amsterdam, pp. 1–10 (2016)
Perren, K., Yang, L., He, J., Yang, S.H., Shan, Y.: Incorporating persuasion into a decision support system: the case of the water user classification function. In: 2016 22nd International Conference on Automation and Computing (ICAC), pp. 429–434 (2016)
Perren, K., Yang, L.: Psychosocial and behavioural factors associated with intention to save water around the home: a Greek case study. Procedia Eng. 119, 1447–1454 (2015)
Safa El-Jamal, A.C., Wang, Z.: A holistic dissemination strategy to deliver water conservation messages through gamification and social networks. In: Conference Water Efficency Network (WATEF), pp. 1–10 (2016)
Shan, Y., Yang, L., Perren, K., Zhang, Y.: Household water consumption: insight from a survey in Greece and Poland. Procedia Eng. 119, 1409–1418 (2015)
Acknowledgments
The research was undertaken as part of Integrated Support System for Efficient Water Usage and Resources Management (ISS-EWATUS) project, funded by European Union’s Seventh Framework Programme for research, technological development and demonstration under grant agreement No. [619228].
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Magiera, E., Jach, T., Kurcius, L. (2018). Tips Service and Water Diary An Innovative Decision Support System for the Efficient Water Usage at Households. In: Czarnowski, I., Howlett, R., Jain, L. (eds) Intelligent Decision Technologies 2017. IDT 2017. Smart Innovation, Systems and Technologies, vol 72. Springer, Cham. https://doi.org/10.1007/978-3-319-59421-7_26
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DOI: https://doi.org/10.1007/978-3-319-59421-7_26
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