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Institutional Repository [SANDBOX]
Technical University of Crete
Technical University of Crete
EN
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| URI: | http://purl.tuc.gr/dl/dias/DE5A7163-E3FE-45F9-85FC-5CEB42812755 | ||
| Year | 2025 | ||
| Type of Item | Diploma Work | ||
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| Bibliographic Citation | Michaela Koufou, "Forecast of electric vehicle sales", Diploma Work, School of Production Engineering and Management, Technical University of Crete, Chania, Greece, 2025 https://doi.org/10.26233/heallink.tuc.104006 | ||
| Appears in Collections |
In this thesis, the goal is to forecast the monthly sales of electric vehicles through the application of an Adaptive Neuro-Fuzzy Inference System (ANFIS) and fuzzy type systems. Electric vehicles have attracted the interest of many buyers and manufacturers, leading to significant investments in the global economy. The fluctuations in sales make it essential for many manufacturers to forecast sales in order to effectively plan their production.The ANFIS system and the fuzzy type approach were selected from a wide range of forecasting methods due to the advantages provided by the combination of fuzzy logic and artificial neural networks that form the basis of the ANFIS algorithm. In the fuzzy type system, model optimization will be performed using the Particle Swarm Optimization algorithm. The results will be compared with traditional forecasting methods - Auto Regression (AR) and Auto Regression Moving Average (ARMA) for further evaluation of the outcomes.
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