AI and Wind Power: A Systematic Review of Economic and Technical Applications
A systematic review of 247 articles examines how machine learning and hybrid AI models enhance wind power forecasting, turbine maintenance, ...
A systematic review of 247 articles examines how machine learning and hybrid AI models enhance wind power forecasting, turbine maintenance, ...
A study of two Norwegian buildings found that machine learning models predicted electricity consumption far more accurately than heating demand ...
A new review in Discover Sustainability charts how artificial intelligence has advanced solar forecasting, maintenance, and grid integration from 2020 ...
A new study using Hubbert linearization forecasts that US light-tight oil, total crude-plus-condensate oil, and natural gas production are all ...
Researchers have developed MLFQ-Hybrid, a deep learning framework that adapts the operating system concept of multi-level feedback queues to improve ...
Researchers have developed SWIFT-KD, a federated learning framework combining hierarchical sliding-window transformers with knowledge distillation that predicts building energy consumption ...
© 2026 Scienmag - Science Magazine
© 2026 Scienmag - Science Magazine