The availability of increasing amounts of data to electricity utilities through the
implementation of domestic smart metering campaigns has meant that traditional ways of …

Neatly represented and properly classified load profiles are fundamental to many control
optimization techniques of modern power systems, especially in a distribution area. This …

Due to high implementation rates of smart meter systems, considerable amount of research
is placed in machine learning tools for data handling and information retrieval. A key tool in …

The aim of this research was to characterise domestic electricity patterns of use on a diurnal,
intra-daily and seasonal basis as a function of customer characteristics. This was done in …

The electricity industries need new business strategies for providing value added service to
consumer. Analysis of consumer behavior in handling load usage is vital since it could …

The growing environmental concerns and liberalization of energy markets have resulted in
an increased competition between utilities and a strong focus on efficiency. To develop new …

This paper proposes a methodology to define the load profiles of residential natural gas
consumers using smart metering data. A detailed clustering analysis is performed using the …

Load profiling refers to a procedure that leads to the formulation of daily load curves and
consumer classes regarding the similarity of the curve shapes. This procedure incorporates …

Interests in green growth for environmental protection are recently increased and encourage
research on Smart Grid to use power efficiently. Among interesting issues in this research …

Nowadays, smart meters, sensors and advanced electricity tariff mechanisms such as timeof-
use tariff (ToUT), critical peak pricing tariff and real time tariff enable the electricity …