20 research outputs found
Data warehouse for the monitoring and analysis of water supply and consumption
Get PDFWater is an essential resource that is increasingly scarce. Existing water supply networks are highly stressed due the increasing water consumption and the high quantity of water losses. In order to reduce water losses and improve water consumption management, EAmb - Esposende Ambiente, E.M. is implementing a data warehouse for storing water supply and consumption data. The available data will be used to monitor and analyze water supply and consumption in Esposende county
Analysis of hourly rainfall data for the development of IDF relationships using the order statistics approach of probability distributions
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A water resources management strategy for small water districts — a case study of the South East Kelowna irrigation district
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Evaluation of Artificial Neural Network Techniques for Municipal Water Consumption Modeling
Full text linkHybrid Water Demand Forecasting Model Associating Artificial Neural Network with Fourier Series
Full text linkDetecting Rainfall Trend and Development of Future Intensity Duration Frequency (IDF) Curve for the State of Kelantan
Full text linkNeural networks and fuzzy inference systems for predicting water consumption time series
Full text linkIdentifying water price and population criteria for meeting future urban water demand targets
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