Urban water demand forecasting for the Island of skiathos
Ημερομηνία
2014Λέξη-κλειδί
Επιτομή
We present an analysis of historical water demand data from the utility of Skiathos, Greece and demonstrate suitable demand forecasting methodologies. We apply linear and nonlinear forecasting methods to a three-year time series water demand. The best fit for quarterly averaged data was observed for the Winters' additive method; for monthly-averaged data, ARIMA, Artificial Neural Network and a hybrid approach performed best. Given the intense seasonality of demand in Skiathos, monthly time series proved to be the best data set for forecasting, while the best forecasting method was the hybrid, which combines the advantages of ARIMA and Artificial Neural Networks. © 2014 The Authors.
Collections
Related items
Showing items related by title, author, creator and subject.
-
Urban water demand assessment for sustainable water resources management, under climate change and socioeconomic changes
Alamanos A., Sfyris S., Fafoutis C., Mylopoulos N. (2020)The relationship between water abstraction and water availability has turned into a major stress factor in the urban exploitation of water resources. The situation is expected to be sharpened in the future due to the ... -
Multilayer Feed Forward Models in Groundwater Level Forecasting Using Meteorological Data in Public Management
Kouziokas G.N., Chatzigeorgiou A., Perakis K. (2018)Managing the groundwater resources is very vital for human life. This research proposes a methodology for predicting the groundwater levels which can be very valuable in water resources management. This study investigates ... -
Daily multivariate forecasting of water demand in a touristic island with the use of artificial neural network and adaptive neuro-fuzzy inference system
Kofinas D., Papageorgiou E., Laspidou C., Mellios N., Kokkinos K. (2016)Water demand forecast has emerged as an imperative component of intelligent Internet and Communication Technologies based methodologies of water management. The need of increased time resolution of forecast in order to ...