Abstract
Integrated Support System for Efficient Water Usage and Resources Management (ISS-EWATUS) is a project founded by the European Union’s Seventh Framework Programme. Its main objective was to recognize and exploit an untapped potential to save water by using information and communication technology (ICT). After three years of the project life-time several tools for this purpose have been developed. In this paper we describe all these tools working together in synergy to conserve water. During the implementation of the presented tools, specific, scientific problems were faced. We explain how these problems were solved. In addition to the technical details, we make an overview of the research papers published as a result of the undertaken works.
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References
Ahmadi, S., Alizadeh, S., Forouzideh, N., Yeh, C., Martin, R., Papageorgiou, E.: ICLA imperialist competitive learning algorithm for fuzzy cognitive map: Application to water demand forecasting. In: IEEE International Conference on Fuzzy Systems, FUZZ-IEEE 2014, Beijing, China, 6–11 July 2014, pp. 1041–1048 (2014)
Al-Hoqani, N., Yang, S.H.: Adaptive sampling for wireless household water consumption monitoring. Procedia Eng. 119, 1356–1365 (2015)
Berbeka, K., Palys, M.: An evaluation of the instruments aimed at poland’s water savings. In: Intelligent Decision Technologies 2016: Proceedings of the 8th KES International Conference on Intelligent Decision Technologies (KES-IDT 2016), pp. 347–356. Springer International Publishing (2016)
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.: Daily urban water demand forecasting-comparative study. In: International Conference: Beyond Databases, Architectures and Structures, pp. 633–647. Springer International Publishing (2015)
Froelich, W.: Dealing with seasonality while forecasting urban water demand. In: Intelligent Decision Technologies 2015: Proceedings of the 7th KES International Conference on Intelligent Decision Technologies (KES-IDT 2015), pp. 171–180. Springer International Publishing (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 International Publishing (2015)
Froelich, W., Magiera, E.: Forecasting domestic water consumption using Bayesian model. In: Intelligent Decision Technologies 2016: Proceedings of the 8th KES International Conference on Intelligent Decision Technologies (KES-IDT 2016), pp. 337–346. Springer International Publishing (2016)
Froelich, W., Pedrycz, W.: Fuzzy cognitive maps in the modeling of granular time series. Knowl.-Based Syst. 115, 110–122 (2017)
Jach, T., Magiera, E., Froelich, W.: Application of hadoop to store and process big data gathered from an urban water distribution system. Procedia Eng. 119, 1375–1380 (2015)
Kofinas, D., Mellios, N., Laspidou, C.: Spatial and temporal disaggregation of water demand and leakage of the water distribution network in Skiathos, Greece. In: Proceedings of the 2nd International Electronic Conference on Sensors and Applications, pp. 1–6 (2015)
Kofinas, D., Mellios, N., Papageorgiou, E., Laspidou, C.: Urban water demand forecasting for the island of skiathos. Procedia Eng. 89, 1023–1030 (2014)
Kokkinos, K., Papageorgiou, E.I., Poczeta, K., Papadopoulos, L., Laspidou, C.: Soft computing approaches for Urban water demand forecasting, pp. 357–367. Springer International Publishing (2016)
Laspidou, C.: Ict and stakeholder participation for improved urban water management in the cities of the future. Water Util. J. 8, 79–85 (2014)
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, 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)
Magiera, E., Froelich, W.: Application of Bayesian networks to the forecasting of daily water demand. In: Intelligent Decision Technologies 2015: Proceedings of the 7th KES International Conference on Intelligent Decision Technologies (KES-IDT 2015), pp. 385–393. Springer International Publishing (2015)
Mellios, N., Kofinas, D., Papageorgiou, E., Laspidou, C.: A multivariate analysis of the daily water demand of Skiathos Island, Greece, implementing the artificial neuro-fuzzy inference system (anfis). In: E-proceedings of the 36th IAHR World Congress, 28 June – 3 July, 2015, The Hague, the Netherlands, pp. 1–8 (2015)
Nardo, A.D., Alcocer-Yamanaka, V.H., Altucci, C., Battaglia, R., Bernini, R., Bodini, S., Bortone, I., Bourguett-Ortiz, V.J., Cammissa, A., Capasso, S., Cascetta, F., Cocco, M., D’acunto, M., Ventura, B.D., Martino, F.D., Mauro, A.D., Natale, M.D., Doveri, M., Mansouri, B.E., Funari, R., Gesuele, F., Greco, R., Iovino, P., Koenig, R., Korakis, T., Laspidou, C.S., Lupi, L., Maietta, M., Musmarra, D., Paleari, O., Santonastaso, G.F., Savic, D., Scozzari, A., Soldovieri, F., Smorra, F., Tuccinardi, F.P., Tzatchkov, V.G., Vamvakeridou-Lyroudia, L.S., Velotta, R., Venticinque, S., Vetrano, B.: New perspectives for smart water network monitoring, partitioning and protection with innovative on-line measuring sensors. In: E-proceedings of the 36th IAHR World Congress, 28 June – 3 July, 2015, The Hague, the Netherlands, pp. 1–10 (2015)
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)
Piasecka, J., Samborska, K., Ulańczyk, R., Magiera, E., Froelich, W.: Projekt ISS ewatus a zrównoważone zużycie wody (in polish). Gospodarka Wodna (2016)
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)
Salmeron, J.L., Froelich, W.: Dynamic optimization of fuzzy cognitive maps for time series forecasting. Knowl.-Based Syst. 105, 29–37 (2016)
Salmeron, J.L., Froelich, W., Papageorgiou, E.I.: Forecasting daily water demand using fuzzy cognitive maps. In: Time Series Analysis and Forecasting, pp. 329–340. Springer International Publishing (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)
Ulańczyk, R., Pecka, T., Skotak, K., Samborska, K., Kliś, C., Suschka, J., Laspidou, C., Kokkinos, K., Froelich, W., Bragiel, T., A.Batóg, Selvik, J.R.: Systemy wspomagania dla gospodarki wodno-ściekowej w obliczu zmian klimatu i innych zmian w środowisku (in polish). In: XIV Konferencja Gospodarka wodno-ściekowa na terenach niezurbanizowanych, Kielce, Poland (2016)
Ulańczyk, R., Pecka, T., Skotak, K., Samborska, K., Suschka, J., Laspidou, C., Kokkinos, K., Froelich, W., Brągiel, T., Batóg, A.: Systemy wspomagania dla gospodarki wodno-ściekowej (in polish). Wodociagi i Kanalizacja 1(155), 30–33 (2017)
Ulańczyk, R., Samborska, K., Froelich, W., Magiera, E., Laspidou, C., Salmeron, J.: A fuzzy-stochastic modelling approach for urban water supply systems – ISS ewatus project’s concept. In: E-proceedings of the 36th IAHR World Congress, 28 June – 3 July, 2015, The Hague, the Netherlands, pp. 1–10 (2015)
Wang, Z., Capiluppi, A.: A social-centred gamification approach to improve household water use efficiency. In: 2015 7th International Conference on Games and Virtual Worlds for Serious Applications (VS-Games), pp. 1–4 (2015)
Wang, Z., Capiluppi, A.: A specialised social network software architecture for efficient household water use management. In: Weyns, D., Mirandola, R., Crnkovic, I. (eds.) Software Architecture: 9th European Conference, ECSA 2015, Dubrovnik/Cavtat, Croatia, 7–11 September 2015. Proceedings, pp. 146–153 (2015)
Yang, L., Yang, S.H., Magiera, E., Froelich, W., Jach, T., Laspidou, C.: Domestic water consumption monitoring and behaviour intervention by employing the internet of things technologies. In: 8th International Conference on Advances in Information Technology, IAIT 2016, December 2016, Macau, China, pp. 1–10. Procedia Computer Science (2016)
Acknowledgments
The work was supported by ISS-EWATUS project which has received funding from the European Union’s Seventh Framework Programme for research, technological development and demonstration under grant agreement no. 619228.
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Froelich, W., Magiera, E. (2018). ISS-EWATUS Decision Support System - Overview of Achievements. 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_18
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DOI: https://doi.org/10.1007/978-3-319-59421-7_18
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