Is mamba effective for time series forecasting?
In the realm of time series forecasting (TSF), it is imperative for models to adeptly discern
and distill hidden patterns within historical time series data to forecast future states …
and distill hidden patterns within historical time series data to forecast future states …
Crude oil price forecasting using K-means clustering and LSTM model enhanced by dense-sparse-dense strategy
A Jahandoost, F Abedinzadeh Torghabeh… - Journal of Big Data, 2024 - Springer
Crude oil is an essential energy source that affects international trade, transportation, and
manufacturing, highlighting its importance to the economy. Its future price prediction affects …
manufacturing, highlighting its importance to the economy. Its future price prediction affects …
Prediction of West Texas Intermediate Crude-oil Price Using Hybrid Attention-based Deep Neural Networks: A Comparative Study
A Jahandoost, M Houshmand… - 2023 13th International …, 2023 - ieeexplore.ieee.org
Crude oil, as a prerequisite for many industries, is vital in today's world. In this regard,
predicting its future price is crucial for many purposes. Even though plenty of research has …
predicting its future price is crucial for many purposes. Even though plenty of research has …
Prediction of West Texas Intermediate Crude-oil Price Using Ensemble Learning Techniques and Neural Networks
A Jahandoost, M Houshmand… - 2024 10th International …, 2024 - ieeexplore.ieee.org
The importance of crude oil is undeniable nowadays. Therefore, forecasting its price is vital
for many industries and countries to specify their strategies. In this regard, many studies …
for many industries and countries to specify their strategies. In this regard, many studies …