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6 hours ago · Forecasting is an international, peer-reviewed, open access journal on all aspects of forecasting published quarterly online by MDPI. Open Access— free for ...
4 days ago · This paper explores a comprehensive approach to demand forecasting at the origin-destination (O&D) level, focusing on the development and implementation of ...
5 days ago · This research paves the way for foundation time-series models for sustainable development in agriculture by enabling forecasting tasks that were traditionally ...
7 days ago · Multivariate time series forecasting holds substantial practical significance, facilitates precise predictions, and informs decision-making. The complexity.
5 days ago · This study proposes a framework for estimating ongoing project costs based on trend and seasonality analysis of the project cost performance through the Holt- ...
7 hours ago · LSTM model considers the power on the same date as input and forecasts the power of next time instant. Further, the forecasted values are reconstructed based on ...
2 days ago · TFTS (TensorFlow Time Series) is an easy-to-use time series package, supporting the classical and latest deep learning methods in TensorFlow or Keras. Support ...
23 hours ago · Good forecasts are vital in many areas of scientific, industrial, commercial and economic activity. This book is concerned with time-series forecasting,.
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18 hours ago · We propose Friformer, a novel time series forecasting model, to address the decreased volatility of denormalized predictions by introducing frequency domain ...
4 days ago · Operational Weather Forecasting · Time Series Analysis in Meteorology and Climatology: An Introduction · The Atmosphere and Ocean: A Physical Introduction, 3rd ...