| 2025 | PAKDD | Inferring Sensor Metadata Based on Machine Learning for Portable Building Applications. | Ashfaqur Rahman, Mashud Rana, Mahathir Almashor, John McCulloch |
| 2023 | SENSYS | What's The Point: AutoEncoding Building Point Names. | Mahathir Almashor, Mashud Rana, John McCulloch, Ashfaqur Rahman, Subbu Sethuvenkatraman |
| 2022 | PAKDD | Deep Learning for Prawn Farming - Forecasting and Anomaly Detection. | Joel Janek Dabrowski, Ashfaqur Rahman, Andrew D. Hellicar, Mashud Rana, Stuart Arnold |
| 2021 | ICDM | SSDNet: State Space Decomposition Neural Network for Time Series Forecasting. | Yang Lin, Irena Koprinska, Mashud Rana |
| 2021 | IJCNN | Forecasting Regional Level Solar Power Generation Using Advanced Deep Learning Approach. | Sarah Almaghrabi, Mashud Rana, Margaret Hamilton, Mohammad Saiedur Rahaman |
| 2021 | IJCNN | Spatially Aggregated Photovoltaic Power Prediction Using Wavelet and Convolutional Neural Networks. | Sarah Almaghrabi, Mashud Rana, Margaret Hamilton, Mohammad Saiedur Rahaman |
| 2021 | IJCNN | Temporal Convolutional Attention Neural Networks for Time Series Forecasting. | Yang Lin, Irena Koprinska, Mashud Rana |
| 2020 | ICANN | Solar Power Forecasting Based on Pattern Sequence Similarity and Meta-learning. | Yang Lin, Irena Koprinska, Mashud Rana, Alicia Troncoso |
| 2020 | ICONIP | SpringNet: Transformer and Spring DTW for Time Series Forecasting. | Yang Lin, Irena Koprinska, Mashud Rana |
| 2020 | IJCNN | Temporal Convolutional Neural Networks for Solar Power Forecasting. | Yang Lin, Irena Koprinska, Mashud Rana |
| 2020 | IJCNN | A Data-driven Approach for Forecasting State Level Aggregated Solar Photovoltaic Power Production. | Mashud Rana, Ashfaqur Rahman, Jiong Jin |
| 2019 | ICANN | Dynamic Ensemble Using Previous and Predicted Future Performance for Multi-step-ahead Solar Power Forecasting. | Irena Koprinska, Mashud Rana, Ashfaqur Rahman |
| 2019 | ICONIP | Pattern Sequence Neural Network for Solar Power Forecasting. | Yang Lin, Irena Koprinska, Mashud Rana, Alicia Troncoso |
| 2018 | PAKDD | Comparison and Sensitivity Analysis of Methods for Solar PV Power Prediction. | Mashud Rana, Ashfaqur Rahman, Liwan H. Liyanage, Mohammed Nazim Uddin |
| 2017 | ICANN | Solar Power Forecasting Using Pattern Sequences. | Zheng Wang, Irena Koprinska, Mashud Rana |
| 2017 | IJCNN | Solar power prediction using weather type pair patterns. | Zheng Wang, Irena Koprinska, Mashud Rana |
| 2016 | CEC | Cooperative neuro-evolutionary recurrent neural networks for solar power prediction. | Mashud Rana, Rohitash Chandra, Vassilios G. Agelidis |
| 2016 | ICANN | Extended Weighted Nearest Neighbor for Electricity Load Forecasting. | Mashud Rana, Irena Koprinska, Alicia Troncoso, Vassilios G. Agelidis |
| 2016 | IJCNN | Solar power forecasting using weather type clustering and ensembles of neural networks. | Mashud Rana, Irena Koprinska, Vassilios G. Agelidis |
| 2016 | IJCNN | Clustering based methods for solar power forecasting. | Zheng Wang, Irena Koprinska, Mashud Rana |
| 2015 | IJCNN | Forecasting solar power generated by grid connected PV systems using ensembles of neural networks. | Mashud Rana, Irena Koprinska, Vassilios G. Agelidis |
| 2014 | IJCNN | Forecasting hourly electricity load profile using neural networks. | Mashud Rana, Irena Koprinska, Alicia Troncoso Lora |
| 2013 | ICANN | Wavelet Neural Networks for Electricity Load Forecasting - Dealing with Border Distortion and Shift Invariance. | Mashud Rana, Irena Koprinska |
| 2013 | ICANN | Feature Selection for Neural Network-Based Interval Forecasting of Electricity Demand Data. | Mashud Rana, Irena Koprinska, Abbas Khosravi |
| 2013 | IJCNN | Combining pattern sequence similarity with neural networks for forecasting electricity demand time series. | Irena Koprinska, Mashud Rana, Alicia Troncoso Lora, Francisco Martnez-lvarez |
| 2013 | IJCNN | Prediction intervals for electricity load forecasting using neural networks. | Mashud Rana, Irena Koprinska, Abbas Khosravi, Vassilios G. Agelidis |
| 2012 | ICANN | Electricity Load Forecasting: A Weekday-Based Approach. | Irena Koprinska, Mashud Rana, Vassilios G. Agelidis |
| 2012 | ICONIP | Statistical and Machine Learning Methods for Electricity Demand Prediction. | Alexandra Kotillova, Irena Koprinska, Mashud Rana |
| 2012 | ICONIP | Feature Selection for Electricity Load Prediction. | Mashud Rana, Irena Koprinska, Vassilios G. Agelidis |
| 2012 | IJCNN | Electricity load forecasting using non-decimated wavelet prediction methods with two-stage feature selection. | Mashud Rana, Irena Koprinska |
| 2011 | IJCNN | Yearly and seasonal models for electricity load forecasting. | Irena Koprinska, Mashud Rana, Vassilios G. Agelidis |