Review of various modeling techniques for the detection of electricity theft in smart grid environment

T Ahmad, H Chen, J Wang, Y Guo - Renewable and Sustainable Energy …, 2018 - Elsevier
This review paper focuses on the various modeling practices for the identification and
apprehension of non-technical losses. The modeling practices are extremely vital to …

Non-technical loss analysis and prevention using smart meters

T Ahmad - Renewable and Sustainable Energy Reviews, 2017 - Elsevier
In the countries such as Pakistan, for analyzing the losses and techniques in the power
distribution and for mitigating, are the two active areas of research which is spread globally …

[图书][B] Advanced data mining techniques

DL Olson, D Delen - 2008 - books.google.com
The intent of this book is to describe some recent data mining tools that have proven
effective in dealing with data sets which often involve unc-tain description or other …

Customer churn analysis: Churn determinants and mediation effects of partial defection in the Korean mobile telecommunications service industry

JH Ahn, SP Han, YS Lee - Telecommunications policy, 2006 - Elsevier
Retaining customers is one of the most critical challenges in the maturing mobile
telecommunications service industry. Using customer transaction and billing data, this study …

Detection of frauds and other non-technical losses in a power utility using Pearson coefficient, Bayesian networks and decision trees

I Monedero, F Biscarri, C León, JI Guerrero… - International Journal of …, 2012 - Elsevier
For the electrical sector, minimizing non-technical losses is a very important task because it
has a high impact in the company profits. Thus, this paper describes some new advances for …

Integration of decision support systems to improve decision support performance

S Liu, AHB Duffy, RI Whitfield, IM Boyle - Knowledge and Information …, 2010 - Springer
Decision support system (DSS) is a well-established research and development area.
Traditional isolated, stand-alone DSS has been recently facing new challenges. In order to …

Integrating data mining with case-based reasoning for chronic diseases prognosis and diagnosis

MJ Huang, MY Chen, SC Lee - Expert systems with applications, 2007 - Elsevier
The threats to people's health from chronic diseases are always exist and increasing
gradually. How to decrease these threats is an important issue in medical treatment. Thus …

Evaluation of classifiers for an uneven class distribution problem

S Daskalaki, I Kopanas, N Avouris - Applied artificial intelligence, 2006 - Taylor & Francis
Classification problems with uneven class distributions present several difficulties during the
training as well as during the evaluation process of classifiers. A classification problem with …

Subscription fraud prevention in telecommunications using fuzzy rules and neural networks

PA Estévez, CM Held, CA Perez - Expert Systems with Applications, 2006 - Elsevier
A system to prevent subscription fraud in fixed telecommunications with high impact on long-
distance carriers is proposed. The system consists of a classification module and a …

[PDF][PDF] Applying data mining to customer churn prediction in an internet service provider

AA Khan, S Jamwal, MM Sepehri - International Journal of Computer …, 2010 - academia.edu
ABSTRACT A business incurs much higher charges when attempting to win new customers
than to retain existing ones. As a result, much research has been invested into new ways of …