Modern communication systems and networks, eg, Internet of Things (IoT) and cellular
networks, generate a massive and heterogeneous amount of traffic data. In such networks …

The unprecedented growth of the global Internet traffic, coupled with the large spatio-
temporal fluctuations that create, to some extent, predictable tidal traffic conditions, are …

Energy consumption prediction of buildings has drawn attention in the related literature
since it is very complex and affected by various factors. Hence, a challenging work is …

With the rapid development of telecommunication networks, the predictability of network
traffic is of significant interest in network analysis and optimization, bandwidth allocation …

Not only market signals but also disturbances of related companies influence the stock
volatility of a company. Currently, most approaches that utilize inter-stock correlations rely on …

The existing long-term time-series forecasting methods based on the neural networks suffer
from multiple limitations, such as accumulated errors and diminishing temporal correlation …

Evaluating web traffic on a web server is highly critical for web service providers since,
without a proper demand forecast, customers could have lengthy waiting times and abandon …

Traffic flow prediction has always been the focus of research in the field of Intelligent
Transportation Systems, which is conducive to the more reasonable allocation of basic …

Nowadays, systems or entities are usually monitored by devices, generating large amounts
of time series. Detecting anomalies in them help prevent potential losses, thus arousing …

Modeling for multivariate time series have always been a meaningful subject. Multivariate
time series forecasting is a fundamental problem attracting many researchers in various …