过去一年中添加的文章,按日期排序

Predicting successful trading in the West Texas Intermediate crude oil cash market with machine learning nature-inspired swarm-based approaches

EZ Bojnourdi, A Mansoori, S Jowkar… - Frontiers in Applied …, 2024 - frontiersin.org
28 天前 - … (13) focuses on forecasting crude oil prices using hybrid approach. They find out
hybrid model using ELM and IGWO for crude oil forecasting, predicts crude oil prices efficiently …

A Comparison of Long Short-Term Memory and Gated Recurrent Unit Models' Architectures with Novel Walk-Forward Approach to Algorithmic Investment Strategy

I Baranochnikov, R Ślepaczuk - Available at SSRN 4628576, 2023 - papers.ssrn.com
254 天前 - … to the process of training and validation of machine learning … in periods t and t-1,
respectively In this paper, to forecast … paper is completelty novel approach to hyperparameters …

A Decomposition-Ensemble-Integration Framework for Carbon Price Forecasting

X Li, Y Zhang, L Chen, J Li, X Chu - Available at SSRN 4613231 - papers.ssrn.com
268 天前 - machine learning techniques have been proposed to accurately predict the future
trends of carbon prices… for optimal forecasting results. In this paper, we introduce DecEnsInt, a …

Fortify the investment performance of crude oil market by integrating sentiment analysis and an interval-based trading strategy

K Yang, Z Cheng, M Li, S Wang, Y Wei - Applied Energy, 2024 - Elsevier
279 天前 - novel approach to mitigating investment risk in the crudetrading risks, we propose
a novel forecasting and trading … natural language processing (NLP) and deep learning

Improved Operational Capital Allocation Strategies by Quantifying Inflation and Supply Chain Impacts

A Sharma, J Emanuel, MA Chapman… - SPE Annual Technical …, 2023 - onepetro.org
285 天前 - … The paper presents a novel approach to asset planning … , cost inflation, and sensitivity
analysis into a multivariate … to predict future cost trends, with R-squared values exceeding …

A Comparative Study of Deep Learning Models and Traditional Methods in Forecasting Oil Production in the Volve Field

ZH Alali, RN Horne - SPE Annual Technical Conference and Exhibition …, 2023 - onepetro.org
285 天前 - … have led to the use of transformer and transfer learning to overcome the need for …
novel approach to using state of the art deep learning algorithms for oil production forecasting