BIOENGINEER

Hybrid Forecasting Model Sharpens Predictions of Seasonal Influenza Waves in China

A six-year hospital surveillance study in Jiande, China, shows that a hybrid SARIMA-LSTM model improves forecasts of ...
Nature

Water Level Forecasting Using Machine Learning Techniques articles from across Nature Portfolio

Uncover the latest and most impactful research in Water Level Forecasting Using Machine Learning Techniques. Explore pioneering discoveries, insightful ideas and new methods from leading researchers ...
BIOENGINEER

Borrowed From Operating Systems: Queue Scheduling Inspires Smarter AI Forecasting

Time series prediction sits at the heart of some of the most consequential decisions modern society makes. Grid operators forecast electricity demand hours ahead to balance supply, meteorologists ...
pv magazine International

New machine learning tech for short-term PV power generation forecasting

Researchers in China have applied a machine learning technology based on temporal convolutional networks in PV power forecasting for the first time. The new model reportedly outperforms similar models ...