In recent years, the availability of time series streaming information has been growing
enormously. Learning from real-time data has been receiving increasingly more attention …

This article proposes a predictive coordinated and cooperative voltage control method in a
power distribution system with high penetration of photovoltaic (PV) units. First, an integrated …

In many real-world applications, data are often collected in the form of a stream, and thus the
distribution usually changes in nature, which is referred to as concept drift in the literature …

Real-time safety assessment (RTSA) of dynamic systems holds substantial implications
across diverse fields, including industrial and electronic applications. However, the …

In many large-scale machine learning applications, data are accumulated over time, and
thus, an appropriate model should be able to update in an online style. In particular, it would …

In today's digital era, many applications generate massive data streams that must be
sequenced and processed immediately. Therefore, storing large amounts of data for …

This paper proposes predictive cooperative voltage control method in a power system with
high penetration of photovoltaic (PV) units. Cooperative distributed control of the reactive …

The analytical capacity of massive data has become increasingly necessary, given the high
volume of data that has been generated daily by different sources. The data sources are …

Over the past decades, technological advancements have included the production of a huge
number of data streams. Data streams comprise large amounts of partially sequenced …

Decision trees are commonly used in machine learning since they are accurate and robust
classifiers. After a decision tree is built, the data can change over time, causing the …