Water Consumption

Water consumption research focuses on understanding and optimizing water usage patterns to address growing demand and resource scarcity. Current research emphasizes developing sophisticated forecasting models, often employing machine learning techniques like federated learning and dynamic time warping, to analyze diverse datasets including smart meter readings and remotely sensed data. These advancements aim to improve water resource management, enhance the efficiency of water distribution systems, and promote water conservation through data-driven insights into individual and aggregate consumption behaviors. The ultimate goal is to create more sustainable and resilient water systems capable of meeting future needs.