Please use this identifier to cite or link to this item: https://hdl.handle.net/11147/9857
Title: Cash flow forecasting by using time series methods in geothermal district heating systems: Balcova - Narlidere case
Authors: Erdoğmuş, Abdullah Berkan
Özerdem, Barış
Keywords: Balcova
Cash flow
Forecasting
Geothermal district heating
Narlidere
Time series
Issue Date: 2006
Publisher: National Technical University of Athens
Abstract: Cash flow forecasting is one of the difficult and important tasks in an economic evaluation of a geothermal investment. Geothermal district heating systems are characterized by a high capital cost. In addition, relatively low operation and maintenance costs occur throughout their life. The aim of this research is to estimate the potential cash flows for Balcova - Narlidere Geothermal District Heating System by using historical data accumulated over a period of time and several forecasting methods: moving average, exponential smoothing, adjusted exponential smoothing and curve fitting functions. Mean absolute percentage deviation (MAPD) which is the most common approach to select the appropriate method to a particular time series is used in the selection of the most suitable model. Alternative methods are compared with each other regarding to their MAPD values. It is found that the models represented by exponential curve fitting functions have smaller MAPD values and give better results in cash flow forecasting of investment investigated.
URI: https://hdl.handle.net/11147/9857
ISBN: 9608758424
Appears in Collections:Mechanical Engineering / Makina Mühendisliği
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection

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