Relevant bibliographies by topics / Holt-Winter method

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  2. Dissertations / Theses
  3. Conference papers

Academic literature on the topic 'Holt-Winter method'

Author: Grafiati
Published: 7 July 2024
Last updated: 31 July 2025

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Journal articles on the topic "Holt-Winter method"

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Andriani, Novita, Sri Wahyuningsih, and Meiliyani Siringoringo. "Application of Double Exponential Smoothing Holt and Triple Exponential Smoothing Holt-Winter with Golden Section Optimization to Forecast Export Value of East Borneo Province." Jurnal Matematika, Statistika dan Komputasi 18, no. 3 (2022): 475–83. http://dx.doi.org/10.20956/j.v18i3.17492.

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Exponential smoothing is one of the short term forecasting methods. The selection of the forecasting method can be done by considering the type of data pattern, such as the Double Exponential Smoothing (DES) Holt method which can be used on trend patterned data and the Triple Exponential Smoothing (TES) Holt-Winter method which can be used on trend and seasonal patterned data. The main problem in using the Holt DES and Holt-Winter TES methods is the parameter selection which is usually done by trial and error, but this method takes a long time so that in this research a more efficient method i
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Santosa, Raden Gunawan, Antonius Rachmat Chrismanto, Willy Sudiarto Raharjo, and Yuan Lukito. "LQ45 Stock Price Forecasting: A Comparison Study of Arima(p,d,q) and Holt-Winter Method." International Journal of Information Technology and Computer Science Applications 2, no. 2 (2024): 115–29. http://dx.doi.org/10.58776/ijitcsa.v2i2.150.

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The Holt-Winter method and ARIMA(p,d,q) are two frequently used forecasting techniques. When using ARIMA, errors are expected to be connected with earlier errors because it is based on data correlation with prior data (autoregressive) (moving average). The Holt-Winter model comes in two different forms: Multiplicative Holt-Winter and Additive Holt-Winter. No one has ever attempted to compare combined time series and cross-section data, despite the fact that there has been a great deal of prior study on ARIMA and Holt-Winter. In a combined time-series and cross-section dataset, the accuracy rat
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Khusrul, Kurniawan, and Madelan Sugiyono. "Forecasting Using Time Series Analysis Method in Crypto Currency Period 2015 – 2022." International Journal of Innovative Science and Research Technology 7, no. 9 (2022): 1454–59. https://doi.org/10.5281/zenodo.7201582.

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Cryptocurrency is a digital currency that is currently much interested as an alternative investment. ARIMA, GARCH, and Holt's Winter method are one of the methods used for forecasting time series data. This research aims to create a model and predict the price of bitcoin. The data used is secondary data in the form of daily closing price data for Bitcoin, Ripple, and Litecoin, as much as 2,520 daily closing price data starting from August 07, 2015 to June 30, 2022, to predict Bitcoin, Ripple, and Litecoin prices for the following 30 periods starting on July 01, 2022 to July 31, 2022. This
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Saeful, Aji, Fandy Setyo Utomo, Yuli Purwati, and Mohd Sanusi Azmi. "COMPARATIVE ANALYSIS OF EXPONENTIAL SMOOTHING MODELS FOR SALES PREDICTION AND SUPPLY MANAGEMENT IN E-COMMERCE." JITK (Jurnal Ilmu Pengetahuan dan Teknologi Komputer) 10, no. 1 (2024): 152–59. http://dx.doi.org/10.33480/jitk.v10i1.5035.

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In the growing era of e-commerce, stock management is crucial. Problems arise in forecasting sales in order to achieve effective stock management. This research uses the time series analysis method by focusing on comparing the accuracy of three forecasting methods: Single Exponential Smoothing (SES), Double Exponential Smoothing (DES), and Triple Exponential Smoothing (TES/Holt-Winter). This research provides a solution by comparing the performance of the three methods based on the Mean Absolute Error (MAE) results and prediction graphs. The goal is to determine the most accurate forecasting m
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Septiana, Dian. "Forecasting Rice Prices with Holt-Winter Exponential Smoothing Model." Hanif Journal of Information Systems 1, no. 2 (2024): 62–67. http://dx.doi.org/10.56211/hanif.v1i2.17.

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Rice, as a staple food, plays a crucial role in global food security. Accurate forecasting of rice prices is essential for policymakers, farmers, and consumers alike. This article explores the application of the Holt-Winter exponential smoothing model to predict rice prices. Holt-Winter method is chosen for its ability to capture both trend and seasonality in time series data, which are prominent features in agricultural commodity prices such as rice. The study analyzes historical price data, identifies trends, seasonality, and incorporates smoothing parameters in additive and multiplicative m
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Jaber, Abobaker M., Mohd Tahir Ismail, and Alsaidi M. Altaher. "Application of Empirical Mode Decomposition with Local Linear Quantile Regression in Financial Time Series Forecasting." Scientific World Journal 2014 (2014): 1–5. http://dx.doi.org/10.1155/2014/708918.

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This paper mainly forecasts the daily closing price of stock markets. We propose a two-stage technique that combines the empirical mode decomposition (EMD) with nonparametric methods of local linear quantile (LLQ). We use the proposed technique, EMD-LLQ, to forecast two stock index time series. Detailed experiments are implemented for the proposed method, in which EMD-LPQ, EMD, and Holt-Winter methods are compared. The proposed EMD-LPQ model is determined to be superior to the EMD and Holt-Winter methods in predicting the stock closing prices.
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Damaliana, Aviolla Terza, Kartika Maulida Hindrayani, and Tresna Maulana Fahrudin. "Hybrid Holt Winter-Prophet method to forecast the num-ber of foreign tourist arrivals through Bali's Ngurah Rai Airport." Internasional Journal of Data Science, Engineering, and Anaylitics 3, no. 2 (2024): 21–32. http://dx.doi.org/10.33005/ijdasea.v3i2.8.

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The Indonesian is an archipelago rich in culture and natural resources. The Government of Indonesia utilizes this wealth by maximizing the tourism potential to earn sizeable foreign exchange. As a major destination, the Indonesian government needs a strategy to ensure foreign tourists continue to increase in terms of health, cleanliness, a sustainable environment and infrastructure. When we can forecast the number of foreign tourists, it is hoped that the government can establish appropriate policies to develop tourism. Based on this, an appropriate forecasting method is needed. This study wil
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Mufarroha, Fifin Ayu, Akhmad Tajuddin Tholaby, Devie Rosa Anamisa, and Achmad Jauhari. "Prediction Model for Tourism Object Ticket Determination in Bangkalan, Madura, Indonesia." ComTech: Computer, Mathematics and Engineering Applications 14, no. 2 (2023): 69–81. http://dx.doi.org/10.21512/comtech.v14i2.7992.

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One of the regencies in Madura, namely Bangkalan, with its local wisdom and beautiful landscapes has the potential to become a tourism center. However, there may be a decrease in the number of visits caused by some factors. The research used the time series method to build a prediction model for tourist attraction entrance tickets. The model development aimed to estimate the number of tourist attraction visits in the future. The right model was needed to get the best prediction results. Least square, Holt-Winter, Seasonal Autoregressive Integrated Moving Average (SARIMA), and Rolling were chos
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Utami, Ruli, and Suryo Atmojo. "Perbandingan Metode Holt Eksponential Smoothing dan Winter Eksponential Smoothing Untuk Peramalan Penjualan Souvenir." Jurnal Ilmiah Teknologi Informasi Asia 11, no. 2 (2017): 123. http://dx.doi.org/10.32815/jitika.v11i2.191.

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UD. Fajar Jaya is a trading business unit engaged in the supply of souvenirs. But in the management of the business there are some problems of which are UD. Fajar Jaya can not predict how the optimal number of souvenirs that must be provided to customers on every item souvenirs are sold. This causes the service to consumers less than the maximum, especially at certain moments sales of souvenirs (example: glass souvenirs) jumped dramatically from the number of average sales. To overcome the above, the authors propose to forecast the level of sales of souvenirs using Holt and Winter methods that
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Salamiah, Mia, Sukono Sukono, and Eddy Djauhari. "Prediction of the Number of Visitors to Tourism Objects in the Ujung Genteng Coastal Area of Sukabumi Using the Holt-Winter Method." Operations Research: International Conference Series 2, no. 4 (2021): 109–16. http://dx.doi.org/10.47194/orics.v2i4.184.

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Ujung Genteng Sukabumi Beach is one of the tourism destinations in Sukabumi Regency, West Java. Forecasting tourist arrivals is a very important factor for tourist destination policies and contributes to the regional economy and the surrounding community. The purpose of this study is to predict the number of tourists who come to Ujung Genteng Beach, Sukabumi. The method used is the Holt-Winter approach exponential smoothing. The Holt-Winter method is used for data that is not stationary, has both trend and seasonal elements. The Holt-Winters method has two models, namely the Additive model and
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Dissertations / Theses on the topic "Holt-Winter method"

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Tengborg, Sebastian, and Joakim Widén. "Prognostisering av försäkringsärenden : Hur brytpunktsdetektion och effekter av historiska lag– och villkorsförändringar kan användas i utvecklingen av prognosarbete." Thesis, Linköpings universitet, Statistik, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-96377.

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I denna rapport presenteras ett tillvägagångssätt för att hitta och datera brytpunkter i tidsserier. En brytpunkt definieras av det datum då det skett en stor nivåförändring i tidsserien. Det presenteras även en strategi för att skatta effekten av daterade brytpunkter. Genom att analysera tidsserier över AFA Försäkrings ärendeinflöde visar det sig att brytpunkter i tidsserien sammanfaller med exogena händelser som kan ha orsakat dessa brytpunkter, till exempel villkors- eller lagförändringar inom försäkringsbranschen. Rapporten visar att det genom ett metodiskt angreppssätt går att skatta effe
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Cifonelli, Antonio. "Probabilistic exponential smoothing for explainable AI in the supply chain domain." Electronic Thesis or Diss., Normandie, 2023. http://www.theses.fr/2023NORMIR41.

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Le rôle clé que l’IA pourrait jouer dans l’amélioration des activités commerciales est connu depuis longtemps, mais le processus de pénétration de cette nouvelle technologie a rencontré certains freins au sein des entreprises, en particulier, les coûts de mise œuvre. En moyenne, 2.8 ans sont nécessaires depuis la sélection du fournisseur jusqu’au déploiement complet d’une nouvelle solution. Trois points fondamentaux doivent être pris en compte lors du développement d’un nouveau modèle. Le désalignement des attentes, le besoin de compréhension et d’explications et les problèmes de performance e
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Conference papers on the topic "Holt-Winter method"

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Choudhary, Surendra Singh, Rashmi Saini, Rahul Raj Choudhary, and Laxman Singh Khangarot. "Climate Data Forecasting Using ARIMA and Holt Winter Methods." In 2024 IEEE India Geoscience and Remote Sensing Symposium (InGARSS). IEEE, 2024. https://doi.org/10.1109/ingarss61818.2024.10984379.

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Elmunim, N. A., M. Abdullah, A. M. Hasbi, and S. A. Bahari. "Short-term forecasting ionospheric delay over UKM, Malaysia, Using the Holt-Winter method." In 2013 International Conference on Space Science and Communication (IconSpace). IEEE, 2013. http://dx.doi.org/10.1109/iconspace.2013.6599443.

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Elmunim, N. A., M. Abdullah, A. M. Hasbi, and A. Zaharim. "Forecasting ionospheric delay during quiet and disturbed days using the Holt-Winter method." In 2015 International Conference on Space Science and Communication (IconSpace). IEEE, 2015. http://dx.doi.org/10.1109/iconspace.2015.7283758.

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Mauricio, Ciprian Charles, and Conrado F. Ostia. "Cuckoo Search Algorithm Optimization of Holt-Winter Method for Distribution Transformer Load Forecasting." In 2023 9th International Conference on Control, Automation and Robotics (ICCAR). IEEE, 2023. http://dx.doi.org/10.1109/iccar57134.2023.10151700.

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Ginkala, Venkateswarlu, Shoeb Mohammad, and A. D. Sarma. "Forecasting of ionospheric time delay using Holt-winter method for GPS applications in low latitude region." In 2013 International Conference on Advances in Computing, Communications and Informatics (ICACCI). IEEE, 2013. http://dx.doi.org/10.1109/icacci.2013.6637274.

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Swamy, K. C. T., and S. Towseef Ahmed. "A Statistical Approach based on Holt-Winter Method for Forecasting of Global Positioning System Satellite L1 Band Signal (1575.42 MHz) Scintillations." In 2020 2nd International Conference on Innovative Mechanisms for Industry Applications (ICIMIA). IEEE, 2020. http://dx.doi.org/10.1109/icimia48430.2020.9074923.

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Sabrina, Dira Amanda, Desi Arisandi, and Janson Hendryli. "Dashboard visualization and forecasting of the air pollutant standard index (ISPU) in DKI Jakarta using the holt-winter triple exponential smoothing method." In SIXTH INTERNATIONAL CONFERENCE OF MATHEMATICAL SCIENCES (ICMS 2022). AIP Publishing, 2023. http://dx.doi.org/10.1063/5.0148306.

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Rojas Garcia, José Antonio, María Fernanda Huanca Van Heurck, Nicole Caroline Tello Barrios, and Jon Arambarri. "Methodology to increase the level of service and the Profitability in a shoe trading SME imported using the forecast method of the Holt-Winter demand and inventory management in the era POST-COVID." In 21st LACCEI International Multi-Conference for Engineering, Education and Technology (LACCEI 2023): “Leadership in Education and Innovation in Engineering in the Framework of Global Transformations: Integration and Alliances for Integral Development”. Latin American and Caribbean Consortium of Engineering Institutions, 2023. http://dx.doi.org/10.18687/laccei2023.1.1.525.

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Venkateswarlu, G., and A. D. Sarma. "Performance of holt-winter and exponential smoothing methods for forecasting ionospheric TEC using IRNSS data." In 2017 Second International Conference on Electrical, Computer and Communication Technologies (ICECCT). IEEE, 2017. http://dx.doi.org/10.1109/icecct.2017.8117892.

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Arini, Hendra Bayu Suseno, Fahmi Nur Maulana, and Iik Muhamad Malik Matin. "Comparison of Single Exponential Smoothing And Holt-Winter Exponential Smoothing Methods in Sales Commercial Business." In 2023 11th International Conference on Cyber and IT Service Management (CITSM). IEEE, 2023. http://dx.doi.org/10.1109/citsm60085.2023.10455673.

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