Abstract: Developing wind speed forecasting is a prerequisite for the safe and effective utilization of wind power. In this study, an enhanced spatiotemporal wind speed forecasting model is proposed for short-term wind speed prediction, ...

Abstract: Accurate and reliable runoff prediction is essential for the efficient operation of hydropower systems. This paper presented a runoff probability prediction model that utilizes an enhanced long short-term memory (LSTM) ...

Abstract: Drought is a natural hazard driven by extreme macroclimatic variability, and generally resulting in serious damage to the environment over a sizable area. Accurate, reliable, and timely forecasting of drought behavior plays ...