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Aug 23, 2024 · Abstract. Accurate forecasting of the UK gross value added (GVA) is fundamental for measuring the growth of the UK economy. A common nonstationarity in GVA.
8 days ago · Forecasting is an international, peer-reviewed, open access journal on all aspects of forecasting published quarterly online by MDPI.
8 days ago · The aim of this book is to present a concise description of some popular time series forecasting models with their salient features.
Aug 13, 2024 · In this study, we introduce a comprehensive forecasting framework that combines multiple statistical and machine learning models to predict cargo demand at the ...
5 days ago · By training more than 38,000 models on these data, we provide the most extensive deep learning study for time series forecasting. Among all studied models, the ...
Aug 16, 2024 · In this work we present a large scale comparison study for the major machine learning models for time series forecasting.
Aug 19, 2024 · Traditional recurrent neural network architectures, such as long short-term memory neural networks (LSTM), have historically held a prominent role in time ...
Aug 29, 2024 · The long-term time series forecasting is to predict the long-term future time series data based on historical observed time series data. Let ...
Aug 22, 2024 · In this paper, we evaluate models that account for more nuanced temporal dependency, namely recurrent neural networks (RNNs) and feature-, interval-, and kernel ...
3 days ago · The LSTM model is a widely used time-series forecasting model in various fields. In previous studies, LSTM has been shown to significantly improve model ...
