Image of Optimizing air handling unit production motor frequecy predtions: evaluating and advancing forecasting techiques with a modified chen's fuzzy time series model

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Optimizing air handling unit production motor frequecy predtions: evaluating and advancing forecasting techiques with a modified chen's fuzzy time series model

The purpose of this study is to introduce a novel approach to predict induction motor frequency adjustments in Air Handling Units (AHU). This is essential as traditional methods have frequently been unable to effectively address the complex seasonal and stochastic fluctuations that are inherent in these environments. To overcome this challenge, the research focuses on utilizing
experimental Chen’s Fuzzy Time Series model, specifically designed to incorporate temporal and seasonal patterns into the predictive analysis. A variety of predictive models were employed, including the Chen’s Fuzzy Time Series, Seasonal Autoregressive Integrated Moving Average (SARIMA), Holt-Winters Exponential Smoothing (HWES), and modified Chen's Fuzzy Time Series models. The study aimed to determine which model would be most effective in optimizing
the frequency of AHU induction motors. The results of this research indicate that the modified Chen's Fuzzy Time Series model demonstrated high efficacy with an R-squared value of 0.9945 in a one-hour time interval in the seasonal pattern, indicating an almost perfect fit between the predicted outcomes and actual data compared to the other prediction models. Furthermore, the modified Chen's Fuzzy Time Series model achieved a Mean Absolute Percentage Error (MAPE) of 2.41% and a Root Mean Square Error (RMSE) of 0.72, which were significantly better than the other models in terms of predictive accuracy and reliability. Compared to the other prediction models, the modified Chen's model showed an efficiency improvement of 86% in MAPE and 87% in RMSE.

Ketersediaan
TI24/007TI 24/007Prodi Teknik Informatika (Ruang Skripsi dan Tesis)Tersedia
Informasi Detail
Judul Seri
-
No. Panggil
TI 24/007
Penerbit
Jakarta : Universitas Trilogi.,
Deskripsi Fisik
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Bahasa
English
ISBN/ISSN
-
Klasifikasi
TI
Tipe Isi
text
Tipe Media
-
Tipe Pembawa
-
Edisi
-
Subjek
Information technology
Trilogi University--Information technology
Info Detail Spesifik
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Pernyataan Tanggungjawab
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Tidak tersedia versi lain

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