Kasun Bandara

1. Recurrent Neural Networks for Time Series Forecasting: Current status and future directions
   2019/09/30 by Hansika Hewamalage, Christoph Bergmeir, Kasun Bandara · 35 citations
   Decision Sciences · Engineering · #Energy Load and Power Forecasting #Forecasting Techniques and Applications #Stock Market Forecasting Methods
2. MSTL: A Seasonal-Trend Decomposition Algorithm for Time Series with Multiple Seasonal Patterns
   2021/07/28 by Kasun Bandara, Rob J. Hyndman, Bandara, Kasun +3 · 11 citations
   Computer Science · Decision Sciences · Environmental Science · #Applications (stat.AP) #Computation (stat.CO) #FOS: Computer and information sciences #Hydrological Forecasting Using AI #Stock Market Forecasting Methods #Time Series Analysis and Forecasting
3. Improving the Accuracy of Global Forecasting Models using Time Series\n Data Augmentation
   2020/08/06 by Kasun Bandara, Bandara, Kasun, Hansika Hewamalage +7 · 4 citations
   Computer Science · Decision Sciences · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Forecasting Techniques and Applications #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Stock Market Forecasting Methods #Time Series Analysis and Forecasting
4. Global models for time series forecasting: A Simulation study
   2020/12/23 by Hansika Hewamalage, Hewamalage, Hansika, Christoph Bergmeir +3 · 4 citations
   Decision Sciences · Computer Science · #Stock Market Forecasting Methods #Forecasting Techniques and Applications #Time Series Analysis and Forecasting
5. Forecasting Across Time Series Databases using Recurrent Neural Networks\n on Groups of Similar Series: A Clustering Approach
   2017/10/09 by Kasun Bandara, Bandara, Kasun, Christoph Bergmeir +3 · 1 citation
   Computer Science · Decision Sciences · #Applications (stat.AP) #Databases (cs.DB) #Econometrics (econ.EM) #FOS: Computer and information sciences #FOS: Economics and business #Forecasting Techniques and Applications #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Stock Market Forecasting Methods #Time Series Analysis and Forecasting
6. Distributed solar generation forecasting using attention-based deep neural networks for cloud movement prediction
   2024/11/17 by Maneesha Perera, Julian De Hoog, Perera, Maneesha +6 · 1 citation
   #cs.LG #cs.CV