Floods are a devastating natural calamity that may seriously harm both infrastructure and
people. Accurate flood forecasts and control are essential to lessen these effects and …

Time series forecasting has been performed for decades in both science and industry. The
forecasting models have evolved steadily over time. Statistical methods have been used for …

Reservoir level control in hydroelectric power plants has importance for the stability of the
electric power supply over time and can be used for flood control. In this sense, this paper …

Time series forecasting is an important and active research area due to the significance of
prediction and decision-making in several applications. Most commonly used models for …

The Red River of the North is vulnerable to floods, which have caused significant damage
and economic loss to inhabitants. A better capability in flood-event prediction is essential to …

ChatGPT has demonstrated remarkable capabilities across various natural language
processing (NLP) tasks. However, its potential for forecasting tourism demand from temporal …

The groundwater level is declining all over the world, especially in India. Some states, such
as Rajasthan and Gujarat, are experiencing very low levels of groundwater. In this study, we …

The occurrence of natural disasters, accelerated by climate change, has become a
continuous menace to the environment and consequently impacts the socioeconomic well …

Accurate estimation of reservoir water level fluctuation (WLF) is crucial for effective dam
operation and environmental management. In this study, seven machine learning (ML) …

Water level (WL) forecasting has become a difficult undertaking due to spatiotemporal
fluctuations in climatic factors and complex physical processes. This paper proposes a novel …