In Finland, customer class load profiles are used extensively in distribution network
calculation. State estimation systems, for example, use the load profiles to estimate the state …

This paper presents comprehensive review on nontechnical losses, load profiles and data
mining techniques that currently being used in effort to minimize the non-technical loss …

Online shopping has experienced substantial growth over the past decade, and this trend is
expected to persist. The convenience it offers consumers serves as a driving force behind …

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 …

BACKGROUND With the advent of SmartGrid technology and Advanced Metering
Infrastructure (AMI) utility companies now have an opportunity to analyze the actual energy …

This paper reports the Typical Load Profile of different types of consumers of distribution
feeder which is based on clustering methods. Among many clustering methods, fuzzy c …

Anomaly detection is an important task for applications involving Big Data. Comparing with
traditional method, anomaly detection in Big Data confronts growing amounts of data with …

With the popularization of smart meter and electric information collecting system, the
application of machine learning is also more widely in non-technical loss (NTL) detection. In …

Electricity industries throughout the world have been using load profiles for many years.
Previously, in a regulated environment, load profiles have been employed to provide …

Az elmúlt évtizedben az online vásárlás jelentős növekedést mutatott, és az előrejelzések
szerint ez a tendencia tovább fog folytatódni. A fogyasztók nagy részének vonzóvá vált az …