In the realm of ecological management and human activities within river basins, short-term
runoff forecasting plays a pivotal role. Addressing this need, this paper introduces an …

The production of hydropower has profound impacts on the sustainability of downstream
river ecosystems. However, current studies often overlook the crucial role of power market …

Accurate and reliable short-term runoff prediction plays a pivotal role in water resource
management, agriculture, and flood control, enabling decision-makers to implement timely …

Accurate long-term water demand forecasting is beneficial to the sustainable development
and management of cities. However, the randomness and nonlinear nature of water demand …

Rainfall plays an important role in maintaining the water cycle by replenishing aquifers,
lakes, and rivers, supporting aquatic life, and sustaining terrestrial ecosystems. Accurate …

In the current intelligent era, high-dimensional multivariate time-series (HMTSs) data are
continuously monitored by heterogeneous devices from multiple observers in the Social …

Continuous glucose monitoring (CGM) devices provide a considerable amount of data that
can be used to predict future values, enabling sustainable control of blood glucose levels to …

Accurate streamflow (SF) forecasting is crucial for effective water-resource management
amid global climate change. Traditional ensemble SF-forecasting methods, reling on …

Urban real-time rainfall-runoff prediction is a complex task in hydrological simulation due to
the strong nonlinearity and fluctuation inherent in urban rainfall-runoff processes. Recently …

Recurrent neural networks (RNNs) are well-suited for sequential data processing, which
have been widely used in natural language processing, speech recognition, and other …