IEEE

Short-term natural gas load forecasting using a new informer framework based on temporal kolmogorov-arnold networks

Abstract: Natural gas load (NGL) forecasting is an important task for enterprises to develop scheduling plans. At present, existing prediction models have disadvantages such as low prediction accuracy ...
Office of Research | Singapore Management University

Sharper weather: Refining 35 years of climate data toward precision forecasting

By Vince ChongSMU Office of Research Governance & Administration – Tightening energy security. Boosting aviation and maritime ...
IEEE

Rainfall amount forecast using GNSS-PWV based on machine learning fusion strategy and the constraint of rainfall event

Abstract: Accurate rainfall forecasting plays a crucial role in weather monitoring. Currently, the application of Global Navigation Satellite System-derived precipitable water vapor (GNSS-PWV) has ...