Latest Research in Machine Learning
10 research papers · 2026 median publication year
Top Research Topics in Machine Learning
- Energy Load and Power Forecasting — 8 papers
- Machine Learning — 2 papers
Highest-Cited Papers
- WaveHiTS: Wavelet-Enhanced Hierarchical Time Series Modeling for Wind Direction Nowcasting in Eastern Inner Mongolia
- A SIREN-Based Multi-Horizon Wind-Speed Forecasting Approach for Onshore and Offshore Wind Farms
- Does Machine Learning Improve Wind Power Forecasting? An Experimental Investigation
- Reliable ultra-short-term wind power forecasting via robust preprocessing, optimized deep learning, and bootstrap interval prediction
- UDA-MTVIB: An unsupervised domain-adaptive multi-site temporal variational information bottleneck for generalizable wind power forecasting
- A robust ensemble learning model for short-term wind power forecasting using multi-height wind features
- Initial-State-Aware Multi-Scale Transformer for Short-Term Wind Power Forecasting
- A novel approach to multi-horizon wind speed forecasting based on advanced machine learning techniques using sparse meteorological data of indigenous wind farm of Pakistan
- Hybrid Semantic Context-Enhanced Ensemble Learning for Wind Power Ramp-Event Forecasting and Uncertainty-Aware Evaluation
- Sensor Data Processing for Wind Power Forecasting Based on Bidirectional Long Short-term Memory Network Optimized with K-dimensional Tree, Density-based Spatial Clustering, and Robust Iterative Multi-objective Engine