Decompose and Conquer: Time Series Forecasting with Multiseasonal Trend Decomposition Using Loess

Decompose and Conquer: Time Series Forecasting with Multiseasonal Trend Decomposition Using Loess

Over the past few years, there has been growing attention to the Long-Term Time Series Forecasting task and solving its inherent challenges like the non-stationarity of the underlying distribution. Notably, most successful models in this area use decomposition during preprocessing. Yet, much of the...

Full description

Bibliographic Details
Main Authors:	Amirhossein Sohrabbeig, Omid Ardakanian, Petr Musilek
Format:	Article
Language:	English
Published:	MDPI AG 2023-12-01
Series:	Forecasting
Subjects:	time series forecasting decomposition multiseasonal
Online Access:	https://www.mdpi.com/2571-9394/5/4/37

Similar Items

A Novel Approach for Temperature Forecasting in Climate Change Using Ensemble Decomposition of Time Series
by: Erick Estrada-Patiño, et al.
Published: (2024-09-01)

Linear Model and Gradient Feature Elimination Algorithm Based on Seasonal Decomposition for Time Series Forecasting
by: Sheng-Tzong Cheng, et al.
Published: (2025-03-01)

Multiple Novel Decomposition Techniques for Time Series Forecasting: Application to Monthly Forecasting of Electricity Consumption in Pakistan
by: Hasnain Iftikhar, et al.
Published: (2023-03-01)

Forest Vertical Structure Mapping Using Two-Seasonal Optic Images and LiDAR DSM Acquired from UAV Platform through Random Forest, XGBoost, and Support Vector Machine Approaches
by: Jin-Woo Yu, et al.
Published: (2021-10-01)

State Causality and Adaptive Covariance Decomposition Based Time Series Forecasting
by: Jince Wang, et al.
Published: (2023-01-01)

Decomposition-Aware Framework for Probabilistic and Flexible Time Series Forecasting in Aerospace Electronic Systems
by: Yuanhong Mao, et al.
Published: (2025-01-01)

Decomposition of a time series and forecasting on the example of PJSC Novolipetsk Metallurgical Combine shares
by: O. V. Baykova, et al.
Published: (2022-09-01)

A Time Series Decomposition-Based Interpretable Electricity Price Forecasting Method
by: Yuanke Cu, et al.
Published: (2025-01-01)

Demand forecasting: a comparison between the Holt-Winters, trend analysis and decomposition models
by: Güzin Tirkeş, et al.
Published: (2017-01-01)

Research on information leakage in time series prediction based on empirical mode decomposition
by: Xinyi Yang, et al.
Published: (2024-11-01)

A hybrid model for tuberculosis forecasting based on empirical mode decomposition in China
by: Ruiqing Zhao, et al.
Published: (2023-10-01)

Investigation of Load, Solar and Wind Generation as Target Variables in LSTM Time Series Forecasting, Using Exogenous Weather Variables
by: Thomas Shering, et al.
Published: (2024-04-01)

DESTformer: A Transformer Based on Explicit Seasonal–Trend Decomposition for Long-Term Series Forecasting
by: Yajun Wang, et al.
Published: (2023-09-01)

Predictive Analytics of Air Temperature in Alaskan Permafrost Terrain Leveraging Two-Level Signal Decomposition and Deep Learning
by: Aymane Ahajjam, et al.
Published: (2024-01-01)

Forecasting and time series analysis /
by: 246766 Montgomery, Douglas C., et al.
Published: (1976)

Forecasting and time series analysis /
by: 246766 Montgomery, Douglas C., et al.
Published: (1990)

Online Attention Enhanced Differential and Decomposed LSTM for Time Series Prediction
by: Lina Li, et al.
Published: (2024-01-01)

An Adaptive Learning Time Series Forecasting Model Based on Decoder Framework
by: Jianlong Hao, et al.
Published: (2025-01-01)

Developing Personalised Learning Support for the Business Forecasting Curriculum: The Forecasting Intelligent Tutoring System
by: Devon Barrow, et al.
Published: (2024-03-01)

Addressing the Non-Stationarity and Complexity of Time Series Data for Long-Term Forecasts
by: Ranjai Baidya, et al.
Published: (2024-05-01)

Introduction to time series analysis and forecasting /
by: 246766 Montgomery, Douglas C., et al.
Published: (2008)

Time series and forecasting : an applied approach /
by: 186292 Bowerman, Bruce L., et al.
Published: (1979)

Forecasting and time series : an applied approach /
by: 186292 Bowerman, Bruce L., et al.
Published: (1993)

Applied time series : analysis and forecasting /
by: 382957 Cooray, T. M. J. A.
Published: (2008)

Forecasting, time series and regression : an applied approach /
by: 186292 Bowerman, Bruce L., et al.
Published: (2005)

Forecasting time series which are inherently discontinuous /
by: 390538 Coopersmith, Lewis W.

Forecasting economic time series /
by: 349909 Granger, C. W. J., et al.
Published: (1986)

Forecasting economic time series /
by: 349909 Granger, C. W. J., et al.
Published: (1977)

A novel stabilized artificial neural network model enhanced by variational mode decomposing
by: Ali Danandeh Mehr, et al.
Published: (2024-07-01)

An Empirical Mode Decomposition-Based Hybrid Model for Sub-Hourly Load Forecasting
by: Chuang Yin, et al.
Published: (2024-01-01)

Combining Seasonal and Trend Decomposition Using LOESS With a Gated Recurrent Unit for Climate Time Series Forecasting
by: Xiao Liu, et al.
Published: (2024-01-01)

Time series analysis and forecasting : the Box-Jenkins approach /
by: 417842 Anderson, O. D.
Published: (1976)

Time series forecasting : unified concepts and computer implementation /
by: 186292 Bowerman, Bruce L., et al.
Published: (1987)

Neural Networks with Transfer Learning and Frequency Decomposition for Wind Speed Prediction with Missing Data
by: Xiaoou Li, et al.
Published: (2024-04-01)

Introduction to time-series modeling and forecasting in business and economics /
by: 437871 Gaynor, Patricia E., et al.
Published: (1994)

Temperature Time Series Prediction Model Based on Time Series Decomposition and Bi-LSTM Network
by: Kun Zhang, et al.
Published: (2023-04-01)

Forecasting, time series and regression : an applied approach [ Compact disc ] /
by: 186292 Bowerman, Bruce L., et al.
Published: (2005)

The impact of empirical accuracy studies on time series analysis and forecasting /
by: 405245 Fildes, Robert, et al.

Short-Term Electric Load Forecasting Based on Variational Mode Decomposition and Grey Wolf Optimization
by: Mengran Zhou, et al.
Published: (2021-08-01)

Analyses on the Multimodel Wind Forecasts and Error Decompositions over North China
by: Yang Lyu, et al.
Published: (2022-10-01)