Advanced Energy

Featured Articles - Volume 1, Number 1

• Hybrid Transformer-LSTM Architecture with Physics-Informed Constraints for Ultra-Short-Term Wind Power Prediction in Offshore Wind Farms

  Xingwang Pi

  Ultra-short-term wind power prediction remains a significant challenge for offshore wind farms due to the complex interactions between marine atmospheric conditions and turbine dynamics. This study presents a hybrid Transformer-LSTM architecture...

  Keywords: Offshore Wind Power Prediction, Physics-Informed Neural Networks, Hybrid Transformer-LSTM, Ultra-Short-Term Forecasting

• Adaptive Meta-Learning Framework for Cross-Regional Wind Power Prediction with Limited Historical Data

  Yanlun Chen

  Wind power forecasting accuracy directly impacts grid stability and energy market operations, yet current prediction methods struggle when applied to new wind farms with insufficient historical data...

  Keywords: Wind Power Forecasting, Meta-Learning, Cross-Regional Prediction, Limited Data, Transfer Learning

• Adversarial Learning Approach for Real-Time Carbon Emission Monitoring in Industrial Energy Systems

  Ling Liu

  Industrial carbon emission monitoring faces substantial challenges in achieving real-time accuracy while maintaining computational efficiency. Traditional monitoring systems rely heavily on direct sensor measurements...

  Keywords: Carbon Emission Monitoring, Adversarial Learning, Industrial Energy Systems, Real-Time Estimation

• Physics-Informed Neural Networks with Adaptive Domain Decomposition for Multi-Scale Renewable Energy Integration in Smart Grids

  Yanling Liu

  The integration of renewable energy sources into smart grids presents unprecedented challenges due to the inherent multi-scale nature of power systems. Traditional numerical methods struggle with computational efficiency...

  Keywords: Physics-Informed Neural Networks, Adaptive Domain Decomposition, Renewable Energy Integration, Smart Grids

• Energy-Aware Neural Architecture Search for Carbon-Neutral AI Model Training in Distributed Data Centers

  Yifei Yin

  The rapid growth of artificial intelligence has created an environmental challenge that we can't ignore anymore. Training state-of-the-art neural networks now requires massive computational resources...

  Keywords: Neural Architecture Search, Carbon-Neutral Computing, Distributed Data Centers, Renewable Energy Integration