In the current structure of the electricity business, distribution and supply services have been
unbundled in many jurisdictions. As a consequence of unbundling, electricity supply to …

Conducting load pattern analysis is an important task in obtaining typical load profiles
(TLPs) of customers and grouping them into classes according to their load characteristics …

This study investigates the impact of cashless policy on the performance of Micro, Small, and
Medium-Sized Enterprises (MSMEs) in Suleja, Nigeria, using Neural Network regression …

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 …

This work presents a method for the selection, typification and clustering of load curves
(STCL) capable of recognizing consumption patterns in the electricity sector. The algorithm …

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 …

With the rapid development of the smart grid, a large volume of smart meter data are
collected in the form of time series, which is called load profiles. This paper investigates the …

Identifying the consumption patterns of electric customers and grouping them to classes
according to their load characteristics can be very meaningful for power supply and demand …

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 …

The determination of secondary substations load profiles may facilitate distribution system
operators to better forecast, plan and operate their distribution networks. The changing in …