Daylight confers extensive benefits for building occupants and improves energy efficiency;
thus, its prediction and performance are significant for design decision-making on building …

Spatio-temporal prediction tasks play a crucial role in facilitating informed decision-making
through anticipatory insights. By accurately predicting future outcomes, the ability to …

Accurate long sequence time series forecasting (LSTF) remains a key challenge due to its
complex time-dependent nature. Multivariate time series forecasting methods inherently …

Ship collisions are the primary threat to traffic safety in the sea, which can seriously threaten
human lives, the environment and material assets. Therefore, the detection and analyze of …

For power generation management and power system dispatching, it is of big significance to
predict the consumption of electric energy accurately. For the sake of improving the …

Droughts are expected to propagate from one type to another–meteorological to agricultural
to hydrological to socio-economic. However, they do not possess a universal …

Accurate measurements of global solar radiation, atmospheric temperature and relative
humidity, as well as the availability of the predictions of their evolution over time, are …

The escalating greenhouse gas (GHG) emissions from maritime trade present a serious
environmental and biological threat. With increasing emission reduction initiatives, such as …

Accurate prediction and monitoring of water level in reservoirs is an important task for the
planning, designing, and construction of river-shore structures, and in taking decisions …

Meteorological time series prediction plays a significant role in short-term and long-term
decision making in various disciplines. However, it is a challenging task involving several …