Due to the recent advancements in the Internet of Things and data science techniques, a
wide range of studies have investigated the use of data mining (DM) and machine learning …

This study presents a new framework that integrates machine learning and a domain
knowledge-based expert system to improve building energy flexibility. In this framework, a …

Buildings are considered the enormous source of untapped energy efficiency potential in the
global carbon neutrality. It is necessary to ensure that buildings are energy-efficient using …

This study presents a new data mining strategy to discover the performance and operational
patterns of a shared energy recovery (SER) system with a data centre and a district heating …

Nowadays, instant decision making through applying available vast raw data has been
considered as one of the main challenges in various industries. Accurate and quick …

Association rule mining has shown outstanding capacity in extracting operation patterns
from numerous building operational data. However, only a very small portion of them is …

The paper develops elements of a new eDFCA-based method for intelligent monitoring of
transportation processes. The proposed process is based on the method of reducing …

Aiming at the problems of low operating efficiency and high operating cost in the actual
application of the ground source heat pump system (GSHPs), a New Variable Neighborhood …