Advanced machine learning techniques for accurate very-short-term wind power forecasting in wind energy systems using historical data analysis
G Ponkumar, S Jayaprakash, K Kanagarathinam - Energies, 2023 - mdpi.com
Accurate wind power forecasting plays a crucial role in the planning of unit commitments,
maintenance scheduling, and maximizing profits for power traders. Uncertainty and changes …
maintenance scheduling, and maximizing profits for power traders. Uncertainty and changes …
[HTML][HTML] A novel SCNN-LSTM model for predicting the SNR confidence interval in wearable wireless sensor network
M Zha, L Zhu, Y Zhu, J Li, T Hu - Intelligent Systems with Applications, 2024 - Elsevier
Accurate real-time prediction of link quality is crucial for enhancing the reliable
responsiveness of wearable devices within Wireless Wearable Sensor Networks (WWSNs) …
responsiveness of wearable devices within Wireless Wearable Sensor Networks (WWSNs) …
[PDF][PDF] Coffee Quality Prediction with Light Gradient Boosting Machine Algorithm Through Data Science Approach
In increasing sales by increasing consumer satisfaction with the quality of coffee sold. A way
is needed to make it easier to predict the determination of quality coffee so as to increase the …
is needed to make it easier to predict the determination of quality coffee so as to increase the …