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Water demand in water supply systems

By Martin Pikal


Within this diploma thesis were evaluated factors, affecting consumption of drinking water from water supply system. Evaluation of time series of water consumption and chosen factors was performed using tools of mathematical statistics. In the last step was performed a dependence analysis of water consumption using artificial neuron network ANN. Diploma thesis was solved in cooperation with company Vodárenská akciová společnost, PLC and Severomoravské vodovody a kanalizace Ostrava, PCL

Topics: regresní analýza; umělé neuronové sítě; prediction of water consumption; korelační analýza; STATISTICA; POWADIMA; artificial neural networks; klimatické faktory; time factors; zásobování vodou; water supply; predikce spotřeby vody; regression analysis; místní faktory; climatic factors; local factors; časové faktory; correlation analysis
Publisher: Vysoké učení technické v Brně. Fakulta stavební
Year: 2014
OAI identifier: oai:invenio.nusl.cz:226888
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