Search Results - "xLSTM"

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    An xLSTM–XGBoost Ensemble Model for Forecasting Non-Stationary and Highly Volatile Gasoline Price by Fujiang Yuan, Xia Huang, Hong Jiang, Yang Jiang, Zihao Zuo, Lusheng Wang, Yuxin Wang, Shaojie Gu, Yanhong Peng

    Published 2025-06-01

    High-frequency fluctuations in the international crude oil market have led to multilevel characteristics in China’s domestic refined oil pricing mechanism. To address the poor fitting performance of single deep learning models on oil price data, which hampers accurate gasoline price prediction, this...

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  2. 2

    A deep learning framework for probabilistic dynamic cable rating in offshore HVDC systems by Shen Yan, Mohamad Ghaffarian Niasar, Marjan Popov

    Published 2025-09-01

    The effective prediction of dynamic cable ratings (DCR) in the HVDC cable is pivotal for enhancing transmission efficiency and maximizing electricity sales in offshore wind farms. Due to complex wind conditions, traditional machine learning methods, such as support vector machines, struggle to provi...

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    xLSTM-Based Urban Traffic Flow Prediction for Intelligent Transportation Governance by Chung-I Huang, Jih-Sheng Chang, Jun-Wei Hsieh, Jyh-Horng Wu, Wen-Yi Chang

    Published 2025-07-01

    Urban traffic congestion poses persistent challenges to mobility, public safety, and governance efficiency in metropolitan areas. This study proposes an intelligent traffic flow forecasting framework based on an extended Long Short-Term Memory (xLSTM) model, specifically designed for real-time conge...

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