Artificial Neural Network for Dynamic Iterative Forecasting: Forecasting Hourly Electricity Demand.

Journals
Deshani, K.A.D, Liwan H. Liyanage & Dilhari Attygalle
American Journal of Applied Mathematics and Statistics, Vol. 7, No. 1, 2019 (pp. 9-17)
Publication year: 2019

Deshani, K.A.D, Liwan H. Liyanage & Dilhari Attygalle, (2019). Artificial Neural Network for Dynamic Iterative Forecasting: Forecasting Hourly Electricity Demand. American Journal of Applied Mathematics and Statistics, Vol. 7, No. 1, 2019 (pp. 9-17)

A Comparative Study on Estimation Methods for Geospatial Temperature in Sri Lanka

Conference Proceedings
H. D. Lokugama , K. A. D. Deshani , W. M. N. D. Basnayake , M. D. T. Attygalle
Proceedings of the Asia International Conference on Multidisciplinary Research 2019, Vol.-1, Page 104-110
Publication year: 2019

A Comparative Study on Estimation Methods for Geospatial Temperature in Sri Lanka, Proceedings of the Asia International Conference on Multidisciplinary Research 2019 Vol.-1, Page 104-110

Dynamic Short Term Load Forecasting using Functional Principal Component Regression

Conference Proceedings
Deshani K.A.D, Attygalle D., Liyanage-Hansen L. and Lakraj G.P.,
Publication year: 2017

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

Journals
Deshani, K.A.D, Dilhari Attygalle & Liwan Liyanage Hansen,
Publication year: 2016

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

Conference Proceedings
Deshani, K.A.D, Attygalle, D., Hansen, L. L.
Publication year: 2016

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

Conference Proceedings
Deshani, K.A.D, Hansen, L. L., Attygalle, M.D.T, & Karunarathne, A.
Publication year: 2014

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

Journals
Deshani, K.A.D, Attygalle, M.D.T, Hansen, L. L., & Karunarathne, A.
Publication year: 2014

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

Conference Proceedings
Improved Neural Network Prediction Performances of Electicity Demand
Publication year: 2013

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

Abstraction
Hapugoda J.C., Perera D.B.U.S. &. Deshani K.A.D.
Publication year: 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’

Abstraction
Mrs. K.A.D. Deshani, Mrs. A. Karunaratne,
Publication year: 2011

‘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.