River flow (Q flow) is a hydrological process that considerably impacts the management and
sustainability of water resources. The literature has shown great potential for nature-inspired …

Abstract As the Russo–Ukrainian conflict obstructs the vast wheat production of Ukraine, we
investigate the relationship over crises between geopolitical risk and prices of essential food …

Prediction of streamflow and rainfall is important for water resources planning and
management. In this study, we developed two hybrid models, based on long short-term …

Ensemble forecasting applied to the field of hydrology is currently an established area of
research embracing a broad spectrum of operational situations. This work catalogs the …

Hydrological time series forecasting is one of the most important applications in modern
hydrology, especially for effective reservoir management. In this research, the auto …

Monthly streamflow prediction can offer important information for optimal management of
water resources, flood mitigation, and drought warning. The semi-humid and semi-arid Wei …

It remains a challenge to obtain an accurate middle and long-term runoff forecast, especially
in flood seasons. The forecast performance can be improved using ensemble empirical …

Many recent studies propose wavelet-based hydrological and water resources forecasting
models that have been incorrectly developed and that cannot properly be used for real …

Hydrological time series forecasting is one of the most important applications in modern
hydrology, especially for the effective reservoir management. In this research, an artificial …

As the proportion of photovoltaic (PV) power generation rapidly increases, accurate PV
output power prediction becomes more crucial to energy efficiency and renewable energy …