Ntebogang Dinah Moroke

Ntebo Moroke earned her Ph.D in Statistics from North West University in 2014. She joined the faculty in 2002 as a junior lecturer. Her areas of research are on using Multivariate and Time Series Data Analysis methods to analyse real-world high-dimensional data. She has published a number of papers in accredited peer-reviewed journals as well as book chapters. Her ability to execute research has garnered her numerous accolades in the field of statistic.

Publications

A Deep Learning Framework for Modeling Temporal Dependencies and Hierarchies in Hourly Electricity Demand Load
A Deep Learning Framework for Modeling Temporal Dependencies and Hierarchies in Hourly Electricity Demand Load
Claris Shoko, Ntebogang Dinah Moroke, Katleho Makatjane. © 2024. 24 pages.
The limitations of traditional deep learning models in processing vast volumes of data and modelling complicated temporal dependencies make it difficult to effectively satisfy...
Detecting Aberrations in Renewable Energy With the One-Class Support Vector Machine Model
Detecting Aberrations in Renewable Energy With the One-Class Support Vector Machine Model
Ntebogang Dinah Moroke, Katleho Makatjane. © 2024. 20 pages.
The traditional energy time series forecasting methods use accurate input data for prediction and then make single-step or multi-step predictions based on the established...
Probabilistic Forecasting of Hourly Wind Power Load in South Africa
Probabilistic Forecasting of Hourly Wind Power Load in South Africa
Katleho Makatjane, Claris Shoko, Ntebogang Dinah Moroke. © 2024. 18 pages.
Forecasters must make some educated assumptions about future electricity demand and effectively explain them because real electricity demand and forecasted electricity demand...
Predictive Modelling for Financial Fraud Detection Using Data Analytics: A Gradient-Boosting Decision Tree
Predictive Modelling for Financial Fraud Detection Using Data Analytics: A Gradient-Boosting Decision Tree
Ntebogang Dinah Moroke, Katleho Makatjane. © 2022. 21 pages.
Financial fraud remains one of the most discussed topics in literature. The financial scandals of Enron, WorldCom, Qwest, Global Crossing, and Tyco resulted in approximately 460...
Detecting Bank Financial Fraud in South Africa Using a Logistic Model Tree
Detecting Bank Financial Fraud in South Africa Using a Logistic Model Tree
Katleho Makatjane, Ntebogang Dinah Moroke. © 2022. 27 pages.
Artificial intelligence is gradually becoming the standard mechanism underpinning online banking. Users' profiles can be confirmed using a variety of methods, including...