Predicting electricity demand (G) is crucial for electricity grid operation and management. In
order to make reliable predictions, model inputs must be analyzed for predictive features …

An accurate origin–destination (OD) passenger flow prediction system is crucially important
for urban metro operation and management. However, there are still lacking targeted …

Landslides, prevalent in mountainous areas, are typically triggered by tectonic movements,
climatic changes, and human activities. They pose catastrophic risks, especially when …

In exceptional times of wars, natural crises (eg, snow storms), or hosting massive events (eg,
international sports events), prior knowledge of hour-by-hour electricity demand might …

In this work, the short-term electric load demand forecasting problem is addressed,
proposing a method inspired by the use of anchors in object detection methods. Specifically …

Accurate load forecasting is the foundation for power systems to develop the optimal
combination of generating units, power economic dispatch and other cooperative operation …

Monitoring and predicting ground settlement during tunnel construction is of paramount
importance for ensuring the safety of tunnel construction and the stability of the surrounding …

Short-term load forecasting is crucial for modern electricity markets. However, it is also a
challenging task due to the overfitting issue of many existing models and the influence of …

Accurate traffic forecasting is a key part of intelligent transport systems, facilitating a variety
of urban application services such as trip alerting, route planning and traffic management …

The Autoformer model exhibits limitations in capturing local information in time series
forecasting, which is crucial for improving prediction accuracy. To address this, this paper …