Large amounts of data are increasingly accumulated in the energy sector with the
continuous application of sensors, wireless transmission, network communication, and cloud …

The load data in smart grid contains a lot of valuable knowledge, which is useful for both
electricity producers and consumers. Load classification is an important issue in load data …

In a competitive retail market, large volumes of smart meter data provide opportunities for
load serving entities to enhance their knowledge of customers' electricity consumption …

The smart grid has been revolutionizing electrical generation and consumption through a
two-way flow of power and information. As an important information source from the demand …

In recent years, the smart grid has attracted wide attention from around the world. Large
scale data are collected by sensors and measurement devices in a smart grid. Smart meters …

Analysis and modeling of electric energy demand is indispensable for power planning,
operation, facility investment, and urban planning. Because of recent development of …

There is an increasing demand for electricity on a global level. Thus, the utility companies
are looking for the effective implementation of demand response management (DRM). For …

Fuzzy marketing considers the degree to which a customer belongs to specific segments
and subsequently allows them to be targeted with messages that engage them emotionally …

Typical load profile (TLP) describes the hourly values of electricity consumption on a daily
basis, and is associated to a certain consumer category, for certain specific operating …

It is very difficult to build load model for every substation since there are numerous
substations in large area power grid. A practical method is to classify the substations into …