Deep reinforcement learning-based multi-objective optimization for electricity-gas-heat integrated energy systems

Expert Systems with Applications, Год журнала: 2024, Номер unknown, С. 125558 - 125558

Опубликована: Окт. 1, 2024

Язык: Английский

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Integrated Seasonal-Trend Decomposition Using Loess for Multi-Head Self-Attention Mechanism and Bidirectional Long Short-Term Memory Based Reference Evapotranspiration Prediction

Опубликована: Янв. 1, 2025

Язык: Английский

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Short-term electrical load forecasting based on pattern label vector generation

Energy and Buildings, Год журнала: 2025, Номер unknown, С. 115383 - 115383

Опубликована: Янв. 1, 2025

Язык: Английский

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Deep feature extraction and fault diagnosis of solenoid valves in propulsion systems based on temporal-attention GraphLSTM model

Measurement and Control, Год журнала: 2025, Номер unknown

Опубликована: Фев. 17, 2025

Fault diagnosis plays a crucial role in monitoring and maintaining industrial processes equipment such as discovering solenoid valve faults. Given the intricate nature of complex characterized by nonlinearity dynamics, this paper introduces novel Temporal-Attention Graph Long Short-Term Memory (TA-GraphLSTM) model for fault diagnosis, which smoothly integrates hybrid GraphLSTM network module with temporal-attention block. The architecture leverages strengths both graph LSTM neural networks to effectively handle complexities inherent data. To construct input structure data, we develop variable correlation analysis strategy based on Maximum Information Coefficient (MIC), facilitates accurate representation relationships between variables. Furthermore, incorporation allows dynamically assign weights hidden variables across time steps capture temporal dependencies effectively. proposed TA-GraphLSTM method is validated through application spacecraft propulsion system. experiment results prove effectiveness robustness model.

Язык: Английский

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Wind power prediction based on improved self-attention mechanism combined with Bi-directional Temporal Convolutional Network

Energy, Год журнала: 2025, Номер unknown, С. 135666 - 135666

Опубликована: Март 1, 2025

Язык: Английский

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A multi-energy load forecasting method based on the Mixture-of-Experts model and dynamic multilevel attention mechanism

Energy, Год журнала: 2025, Номер unknown, С. 135947 - 135947

Опубликована: Апрель 1, 2025

Язык: Английский

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Parallel Prediction Method for Damage Factors and Life Loss of Turbine High-Pressure Rotors Based on Soft Parameter Sharing Mechanism of Multi-task Learning

Energy, Год журнала: 2025, Номер unknown, С. 136196 - 136196

Опубликована: Апрель 1, 2025

Язык: Английский

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Uncertainty-aware hourly load forecasting of hydrogen-blended natural gas with a hybrid deep learning model

International Journal of Hydrogen Energy, Год журнала: 2025, Номер 127, С. 541 - 563

Опубликована: Апрель 15, 2025

Язык: Английский

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Co-construction strategy of battery swapping stations and charging piles in China

Transport Policy, Год журнала: 2025, Номер unknown

Опубликована: Апрель 1, 2025

Язык: Английский

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Machine-learning-enabled discovery of gas-sensing descriptors of chemiresistive sensors: A case study of heterojunction

Sensors and Actuators A Physical, Год журнала: 2025, Номер unknown, С. 116752 - 116752

Опубликована: Июнь 1, 2025

Язык: Английский

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