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Deep-Learning Forecasting Method for Electric Power Load via Attention-Based Encoder-Decoder with Bayesian Optimization

Energies (Basel), 2021-03, Vol.14 (6), p.1596

2021

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Improving Non-Intrusive Load Disaggregation through an Attention-Based Deep Neural Network

Energies (Basel), 2021-02, Vol.14 (4), p.847

2021

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Non-Intrusive Load Monitoring Based on Multiscale Attention Mechanisms

Energies (Basel), 2024-04, Vol.17 (8), p.1944

2024

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Abnormal Event Detection in Nuclear Power Plants via Attention Networks

Energies (Basel), 2023-09, Vol.16 (18), p.6745

2023

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Natural Gas–Electricity Price Linkage Analysis Method Based on Benefit–Cost and Attention–VECM Model

Energies (Basel), 2023-05, Vol.16 (10), p.4155

2023

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Time Series Forecasting with Multi-Headed Attention-Based Deep Learning for Residential Energy Consumption

Energies (Basel), 2020-09, Vol.13 (18), p.4722

2020

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Short-Term Power Load Forecasting Based on PSO-Optimized VMD-TCN-Attention Mechanism

Energies (Basel), 2023-06, Vol.16 (12), p.4616

2023

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Modified Particle Swarm Optimization with Attention-Based LSTM for Wind Power Prediction

Energies (Basel), 2022-06, Vol.15 (12), p.4334

2022

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An Intelligent Recognition Method for Low-Grade Fault Based on Attention Mechanism and Encoder–Decoder Network Structure

Energies (Basel), 2022-11, Vol.15 (21), p.8098

2022

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Bearing Fault Diagnosis Based on Shallow Multi-Scale Convolutional Neural Network with Attention

Energies (Basel), 2019-10, Vol.12 (20), p.3937

2019

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Forecasting Day-Ahead Hourly Photovoltaic Power Generation Using Convolutional Self-Attention Based Long Short-Term Memory

Energies (Basel), 2020-08, Vol.13 (15), p.4017

2020

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Interpretable Wind Power Short-Term Power Prediction Model Using Deep Graph Attention Network

Energies (Basel), 2024-01, Vol.17 (2), p.384

2024

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ANN-LSTM-A Water Consumption Prediction Based on Attention Mechanism Enhancement

Energies (Basel), 2024-03, Vol.17 (5), p.1102

2024

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Pre-Attention Mechanism and Convolutional Neural Network Based Multivariate Load Prediction for Demand Response

Energies (Basel), 2023-04, Vol.16 (8), p.3446

2023

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EhdNet: Efficient Harmonic Detection Network for All-Phase Processing with Channel Attention Mechanism

Energies (Basel), 2024-01, Vol.17 (2), p.349

2024

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A Novel Attention Temporal Convolutional Network for Transmission Line Fault Diagnosis via Comprehensive Feature Extraction

Energies (Basel), 2023-10, Vol.16 (20), p.7105

2023

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Fault Arc Detection Based on Channel Attention Mechanism and Lightweight Residual Network

Energies (Basel), 2023-07, Vol.16 (13), p.4954

2023

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Multidimensional Feature-Based Graph Attention Networks and Dynamic Learning for Electricity Load Forecasting

Energies (Basel), 2023-09, Vol.16 (18), p.6443

2023

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Contagion Spillover from Bitcoin to Carbon Futures Pricing: Perspective from Investor Attention

Energies (Basel), 2023-01, Vol.16 (2), p.929

2023

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Rock CT Image Super-Resolution Using Residual Dual-Channel Attention Generative Adversarial Network

Energies (Basel), 2022-07, Vol.15 (14), p.5115

2022

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Named Entity Identification in the Power Dispatch Domain Based on RoBERTa-Attention-FL Model

Energies (Basel), 2023-06, Vol.16 (12), p.4654

2023

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State-Partial Accurate Voltage Fault Prognosis for Lithium-Ion Batteries Based on Self-Attention Networks

Energies (Basel), 2022-11, Vol.15 (22), p.8458

2022

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Chinese-Style Fiscal Decentralization, Ecological Attention of Government, and Regional Energy Intensity

Energies (Basel), 2022-11, Vol.15 (22), p.8408

2022

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Multiagent Reinforcement Learning Based on Fusion-Multiactor-Attention-Critic for Multiple-Unmanned-Aerial-Vehicle Navigation Control

Energies (Basel), 2022-10, Vol.15 (19), p.7426

2022

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D-P-Transformer: A Distilling and Probsparse Self-Attention Rockburst Prediction Method

Energies (Basel), 2022-06, Vol.15 (11), p.3959

2022

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Deep-Learning Forecasting Method for Electric Power Load via Attention-Based Encoder-Decoder with Bayesian Optimization

Improving Non-Intrusive Load Disaggregation through an Attention-Based Deep Neural Network

Non-Intrusive Load Monitoring Based on Multiscale Attention Mechanisms

Abnormal Event Detection in Nuclear Power Plants via Attention Networks

Natural Gas–Electricity Price Linkage Analysis Method Based on Benefit–Cost and Attention–VECM Model

Time Series Forecasting with Multi-Headed Attention-Based Deep Learning for Residential Energy Consumption

Short-Term Power Load Forecasting Based on PSO-Optimized VMD-TCN-Attention Mechanism

Modified Particle Swarm Optimization with Attention-Based LSTM for Wind Power Prediction

An Intelligent Recognition Method for Low-Grade Fault Based on Attention Mechanism and Encoder–Decoder Network Structure

Bearing Fault Diagnosis Based on Shallow Multi-Scale Convolutional Neural Network with Attention

Forecasting Day-Ahead Hourly Photovoltaic Power Generation Using Convolutional Self-Attention Based Long Short-Term Memory

Interpretable Wind Power Short-Term Power Prediction Model Using Deep Graph Attention Network

ANN-LSTM-A Water Consumption Prediction Based on Attention Mechanism Enhancement

Pre-Attention Mechanism and Convolutional Neural Network Based Multivariate Load Prediction for Demand Response

EhdNet: Efficient Harmonic Detection Network for All-Phase Processing with Channel Attention Mechanism

A Novel Attention Temporal Convolutional Network for Transmission Line Fault Diagnosis via Comprehensive Feature Extraction

Fault Arc Detection Based on Channel Attention Mechanism and Lightweight Residual Network

Multidimensional Feature-Based Graph Attention Networks and Dynamic Learning for Electricity Load Forecasting

Contagion Spillover from Bitcoin to Carbon Futures Pricing: Perspective from Investor Attention

Rock CT Image Super-Resolution Using Residual Dual-Channel Attention Generative Adversarial Network

Named Entity Identification in the Power Dispatch Domain Based on RoBERTa-Attention-FL Model

State-Partial Accurate Voltage Fault Prognosis for Lithium-Ion Batteries Based on Self-Attention Networks

Chinese-Style Fiscal Decentralization, Ecological Attention of Government, and Regional Energy Intensity

Multiagent Reinforcement Learning Based on Fusion-Multiactor-Attention-Critic for Multiple-Unmanned-Aerial-Vehicle Navigation Control

D-P-Transformer: A Distilling and Probsparse Self-Attention Rockburst Prediction Method

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