In power fingerprint identification, feature information is insufficient when using a single
feature to identify equipment, and small load data of specific customers, difficult to meet the …

Bulk data modeling in a smart grid dynamic network has been performed using an
automated load modeling tool (ALMT), an on-load tap changer, and exponential dynamic …

The Internet of Energy (IoE) is a topic that industry and academics find intriguing and
promising, since it can aid in developing technology for smart cities. This study suggests an …

In an era of increasing energy demands and environmental concerns, optimizing energy
consumption within buildings is crucial. Despite the vast improvements in HVAC and lighting …

Electricity theft has caused enormous damage to grid's safety and economy globally,
bringing plentiful attention to electricity theft detection. However, the inherent problems of …

Abstract In recent years, Nonintrusive Load Monitoring (NILM) has been considered a
crucial problem for energy monitoring and management, especially in the residential sector …

Energy management and monitoring systems are significant difficulties in applying
microgrids to smart homes. Thus, further research is required to address the modeling and …

With the price of green energy now more reasonable, users can now produce enough
electricity to meet their needs and make a profit by selling the surplus on the underground …

To achieve the goal of peaking carbon emissions globally and carbon neutrality, smart
energy management is a promising way to boost energy conservation and estimate the …

International policies and targets to globally reduce carbon dioxide emissions have
contributed to increasing penetration of distributed energy resources (DER) in low‐voltage …