AbstractNowadays, the world is witnessing global changes that may affect the provision of services from water utilities. The construction of demand scenarios is of the utmost importance for the planning, design and operation of water distribution systems under uncertainty conditions. The aim of this paper is to present the results of water demand projections, based on a scenario planning approach in water distribution systems for short and long terms. Results also include improved empirical relations to predict water demand variables and daily demand patterns. Temperature was incorporated in these prediction models, which significantly improved their accuracy
AbstractThis paper presents novel approach for detection of pole-like objects from LIDAR data. The d...
AbstractThe analytical calculation of hold-down loads for open-top tanks and other flexible structur...
AbstractHygrothermal behavior of building envelope affects its overall performance. The device prese...
AbstractIn water distribution systems (WDS) of developing countries, data about assets and consumpti...
AbstractIt is well known that leakage is a kind of pressure-dependent flow in water distribution sys...
AbstractIn WDS characterized by significant variation in elevation, the necessity of pumping water t...
AbstractThe rising living standards and increasing demands for quality of the environment have led t...
AbstractIn modelling application, different model structures may be equally reliable in terms of cal...
AbstractIn a real water distribution network, district metering for the identification of losses can...
AbstractIn the research, fractal theory was adopted in water supply network. K-means algorithm was a...
AbstractA realistic representation of the water demand in the network nodes is a basic prerequisite ...
AbstractMultiUtility committed to Proteo the analysis of a pilot district of the water distribution ...
AbstractClimate services are identified as a means of providing the information that is needed to su...
AbstractThe paper investigates an optimized leakage locating model combining Genetic Algorithms and ...
AbstractThe optimal operation of a multi quality network was analysed applying Linear Programming me...
AbstractThis paper presents novel approach for detection of pole-like objects from LIDAR data. The d...
AbstractThe analytical calculation of hold-down loads for open-top tanks and other flexible structur...
AbstractHygrothermal behavior of building envelope affects its overall performance. The device prese...
AbstractIn water distribution systems (WDS) of developing countries, data about assets and consumpti...
AbstractIt is well known that leakage is a kind of pressure-dependent flow in water distribution sys...
AbstractIn WDS characterized by significant variation in elevation, the necessity of pumping water t...
AbstractThe rising living standards and increasing demands for quality of the environment have led t...
AbstractIn modelling application, different model structures may be equally reliable in terms of cal...
AbstractIn a real water distribution network, district metering for the identification of losses can...
AbstractIn the research, fractal theory was adopted in water supply network. K-means algorithm was a...
AbstractA realistic representation of the water demand in the network nodes is a basic prerequisite ...
AbstractMultiUtility committed to Proteo the analysis of a pilot district of the water distribution ...
AbstractClimate services are identified as a means of providing the information that is needed to su...
AbstractThe paper investigates an optimized leakage locating model combining Genetic Algorithms and ...
AbstractThe optimal operation of a multi quality network was analysed applying Linear Programming me...
AbstractThis paper presents novel approach for detection of pole-like objects from LIDAR data. The d...
AbstractThe analytical calculation of hold-down loads for open-top tanks and other flexible structur...
AbstractHygrothermal behavior of building envelope affects its overall performance. The device prese...