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You are here : eLibrary : IAHR World Congress Proceedings : 36th Congress - The Hague (2015) ALL CONTENT : Special sessions : A multivariate analysis of the daily water demand of skiathos island, greece,implementing the artifi...
A multivariate analysis of the daily water demand of skiathos island, greece,implementing the artificial neuro- fuzzy inference system (anfis)
Author : NIKOLAOS MELLIOS(1),(2), DIMITRIS KOFINAS(1),(2), ELPINIKI PAPAGEORGIOU(1),(3) & CHRYSI LASPIDOU(1),(2)
ABSTRACT
Considering the increasing demand for the optimization of water distribution networks in terms of leakage reduction and
pressure management, as well as the need to reduce urban water consumption, a lot of effort has been invested in the
past decade in order to define accurate, long-term and short-term water demand forecasting methods. Linear regression
models, such as ARIMA, and Artificial Neural Networks (ANN) have been used, as well as different hybrid approaches.
In this paper, a multivariate analysis of daily water demand of Skiathos Island, Greece and an investigation on the
benefits of the Artificial Neuro-Fuzzy Inference System (ANFIS) forecasting method are presented. Skiathos is a touristic
island in the Aegean Sea with typical Mediterranean climate and seasonally intense population fluctuations due to
touristic activity. These parameters form a highly periodic water demand, with summer demand surpassing by farí¬
almost six timesí¬winter demand. The applied methodology considers how touristic activity and meteorological and
hydraulic variables influence water demand. The applied method benefits when water demand includes non-linear parts
and performs adequately; it also provides a Fuzzy Rule Base, giving researchers and water managers a handy tool for
interpreting the physical aspects of the inter-relationships
File Size : 537,599 bytes
File Type : Adobe Acrobat Document
Chapter : IAHR World Congress Proceedings
Category : 36th Congress - The Hague (2015) ALL CONTENT
Article : Special sessions
Date Published : 19/08/2015
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