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Title	Time Series Transformer For Long Term Rainfall Forecasting Towards Water Distribution Management In Smart Cities.
ID_Doc	57417
Authors	Ghosh A.
Year	2023
Published	Proceedings - 2023 IEEE International Conference on Big Data, BigData 2023
DOI	http://dx.doi.org/10.1109/BigData59044.2023.10386081
Abstract	Infrastructure for managing and distributing water in the traditional manner is somewhat outdated. As a result of incorporating information and communication technologies into the current system, a smart water management system has been developed. The smart water management system uses a number of different technologies to monitor and sense water leaks, theft, and delivery. The supervisory control and data acquisition system SCADA, which shows that the distribution side is being monitored less, has very little impact at the pump house level. The development of the Internet of Things (IoT) has made it possible to connect a large number of monitoring devices to the Internet, which will be more beneficial for automating water delivery and leak detection. As a result, a fog-integrated IoT-based smart water distribution and monitoring system for a smart city is proposed. This system will handle customer utilization, water theft detection, water quality control, fault prediction, fault localization, and rainfall prediction. Fog and cloud computing enable these system processes in order to achieve effective control action. In this work first, we apply the transformer for the rainfall prediction and then use ant colony optimization for optimization of the water distribution process. © 2023 IEEE.
Author Keywords	Ant Colony Optimization; informer transformer; Rainfall prediction; water distribution

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