| Improved neural network prediction performances of electricity demand: modifying inputs through clustering KAD Deshani, LL Hansen, MDT Attygalle, A Karunarathne Second International Conference on Computational Science and Engineering …, 2014 | 9 | 2014 |
| An exploratory analysis on half-hourly electricity load patterns leading to higher performances in neural network predictions KAD Deshani, MDT Attygalle, LL Hansen, A Karunaratne International Journal of Artificial Intelligence & Applications 5 (3), 37, 2014 | 6 | 2014 |
| Incorporating influential factors in diurnal temperature estimation with sparse data KAD Deshani, D Attygalle, LL Hansen GSTF Journal of Mathematics, Statistics and Operations Research (JMSOR) 4, 1-5, 2016 | 4 | 2016 |
| Dynamic Short Term Load Forecasting using Functional Principal Component Regression K Deshani, D Attygalle, L Liyanage-Hansen, G Lakraj Proceedings of 1st International Conference on Machine Learning and Data …, 2017 | 3 | 2017 |
| Diurnal Temperature Modeling with Sparse Data and Data Integration K Deshani, D Attygalle, L Liyanage Hansen Proceedings of 4th Annual Operational Research and Statistics, 28-32, 2016 | 3 | 2016 |
| A stylometric approach for reliable news detection using machine learning methods ADL Abeynayake, AA Sunethra, KAD Deshani 2022 22nd International Conference on Advances in ICT for Emerging Regions …, 2022 | 2 | 2022 |
| Artificial Neural Network for Dynamic Iterative Forecasting: Forecasting Hourly Electricity Demand KAD Deshani, L Liyanage-Hansen, D Attygalle American Journal of Applied Mathematics and Statistics 7 (1), 9-17, 2019 | 2 | 2019 |
| Clustering Time Related Data: A Regression Tree Approach KAD Deshani, L Liyanage-Hansen, DT Attygalle American Journal of Applied Mathematics and Statistics 10 (1), 22-27, 2022 | 1 | 2022 |
| A study of the dynamic behaviour of daily load curve for short term predictions KAD Deshani, L Liyanage-Hansen, MDT Attygalle, A Karunaratne | 1 | 2013 |
| Two level neuro-functional forecaster: A novel dynamic hybridization for functional data forecasting KAD Deshani, DT Attygalle, LL Hansen National Science Foundation of Sri Lanka 52 (1), 2024 | | 2024 |
| Data Science Two level neuro-functional forecaster: A novel dynamic hybridization for functional data forecasting KAD Deshani, DT Attygalle, LL Hansen Journal of the National Science Foundation of Sri Lanka 52, 1, 2024 | | 2024 |
| A complex sample design based analysis of determinants of secondary job holding of heads of households in Sri Lanka P Pannala, KAD Deshani Faculty of Science, University of Kelaniya Sri Lanka, 2023 | | 2023 |
| A hybrid forecasting model for monthly elevation-wise tea auction prices in Sri Lanka using supply and demand factors K Siriwardana, KAD Deshani, DS Wickramarachchi University of Jaffna, 2022 | | 2022 |
| A study on mobile phone preference of graduates of University of Kelaniya, Sri Lanka PTN Devindi, KAD Deshani University of Colombo, 2020 | | 2020 |
| Data-Driven Demand-Response Modeling for Electricity Consumption in Sri Lanka KAD Deshani Faculty of Science, University of Colombo, 2018 | | 2018 |
| A REVIEW ON FORECASTING NET LOAD BY CONSIDERING GENERATION FROM INTERMITTENT RENEWABLES FOR EFFICIENT GRID MANAGEMENT K Siriwardana, KAD Deshani | | |
Dilhari T. AttygalleSenior Lecturer, University of ColomboVerified email at stat.cmb.ac.lk
