Dynamic Short Term Load Forecasting using Functional Principal Component Regression, International Conference on Machine Learning and Data Engineering Sydney, Australia
Incorporating Influential Factors in Diurnal Temperature Estimation with Sparse Data. GSTF Journal of Mathematics, Statistics, Operations Research, Vol. 3, No. 2, July 2016 (pp. 12-16)
Diurnal Temperature Modeling with Sparse Data and Data Integration. Fourth Annual International Conference on Operational Research and Statistics (pp. 28-32) Singapore: Global Science & Technology Forum.
Improved Neural Network Prediction Performances of Electicity Demand: Modifying Inputs through Clustering. Second International Conference on Computational Science and Engineering (pp. 137-147). India: AIRCC
An Exploratory Analysis on Half-Hourly Electricity Load Patterns Leading to Higher Performances in Neural Network Predictions. International Journal of Artificial Intelligence & Applications (IJAIA), Vol. 5, No. 3, May
2014 (pp. 37-51)
A study of the Dynamic Behaviour of Daily Load Curve for Short Term Predictions, Proceedings of ISNGI 2013 –
International Symposium for Next Generation Infrastructure, Wollongong, Australia, September 2013
A Study of Generalized Estimations (GEE) and General Regression Neural Networks (GRNN) to Assess the Production of Poultry Breeders, Proceedings of the 69th Annual Sessions of Sri Lanka Association for the Advancement of Science 2013
‘Analysis of Efficiency of a Multi-Queue against a Single Queue with Many Servers: A Study on Advertisement Counter Queues at a Leading Newspaper Company’, was accepted to present at the International Statistics Conference 2011 conducted by the Applied Statistics Association of Sri Lanka.