Yearly and seasonal models for electricity load forecasting. - Irena Koprinska; Mashud Rana; Vassilios G. Agelidis (IJCNN, 2011)

Electricity Load Forecasting: A Weekday-Based Approach. - Irena Koprinska; Mashud Rana; Vassilios G. Agelidis (ICANN (2), 2012)

Statistical and Machine Learning Methods for Electricity Demand Prediction. - Alexandra Kotillova; Irena Koprinska; Mashud Rana (ICONIP (2), 2012)

Feature Selection for Electricity Load Prediction. - Mashud Rana; Irena Koprinska; Vassilios G. Agelidis (ICONIP (2), 2012)

Electricity load forecasting using non-decimated wavelet prediction methods with two-stage feature selection. - Mashud Rana; Irena Koprinska (IJCNN, 2012)

Wavelet Neural Networks for Electricity Load Forecasting - Dealing with Border Distortion and Shift Invariance. - Mashud Rana; Irena Koprinska (ICANN, 2013)

Feature Selection for Neural Network-Based Interval Forecasting of Electricity Demand Data. - Mashud Rana; Irena Koprinska; Abbas Khosravi (ICANN, 2013)

Combining pattern sequence similarity with neural networks for forecasting electricity demand time series. - Irena Koprinska; Mashud Rana; Alicia Troncoso Lora; Francisco Martínez-Álvarez (IJCNN, 2013)

Prediction intervals for electricity load forecasting using neural networks. - Mashud Rana; Irena Koprinska; Abbas Khosravi; Vassilios G. Agelidis (IJCNN, 2013)

Forecasting hourly electricity load profile using neural networks. - Mashud Rana; Irena Koprinska; Alicia Troncoso Lora (IJCNN, 2014)

Forecasting solar power generated by grid connected PV systems using ensembles of neural networks. - Mashud Rana; Irena Koprinska; Vassilios G. Agelidis (IJCNN, 2015)

Correlation and instance based feature selection for electricity load forecasting. - Irena Koprinska; Mashud Rana; Vassilios G. Agelidis (Knowl. Based Syst., 2015)

Cooperative neuro-evolutionary recurrent neural networks for solar power prediction. - Mashud Rana; Rohitash Chandra; Vassilios G. Agelidis (CEC, 2016)

Extended Weighted Nearest Neighbor for Electricity Load Forecasting. - Mashud Rana; Irena Koprinska; Alicia Troncoso; Vassilios G. Agelidis (ICANN (2), 2016)

Solar power forecasting using weather type clustering and ensembles of neural networks. - Mashud Rana; Irena Koprinska; Vassilios G. Agelidis (IJCNN, 2016)

Clustering based methods for solar power forecasting. - Zheng Wang 040; Irena Koprinska; Mashud Rana (IJCNN, 2016)

Forecasting electricity load with advanced wavelet neural networks. - Mashud Rana; Irena Koprinska (Neurocomputing, 2016)

Solar Power Forecasting Using Pattern Sequences. - Zheng Wang 040; Irena Koprinska; Mashud Rana (ICANN (2), 2017)

Solar power prediction using weather type pair patterns. - Zheng Wang 040; Irena Koprinska; Mashud Rana (IJCNN, 2017)

Comparison and Sensitivity Analysis of Methods for Solar PV Power Prediction. - Mashud Rana; Ashfaqur Rahman; Liwan H. Liyanage; Mohammed Nazim Uddin (PAKDD (Workshops), 2018)

Dynamic Ensemble Using Previous and Predicted Future Performance for Multi-step-ahead Solar Power Forecasting. - Irena Koprinska; Mashud Rana; Ashfaqur Rahman (ICANN (4), 2019)

Pattern Sequence Neural Network for Solar Power Forecasting. - Yang Lin; Irena Koprinska; Mashud Rana; Alicia Troncoso (ICONIP (5), 2019)

Solar Power Forecasting Based on Pattern Sequence Similarity and Meta-learning. - Yang Lin; Irena Koprinska; Mashud Rana; Alicia Troncoso (ICANN (1), 2020)

SpringNet: Transformer and Spring DTW for Time Series Forecasting. - Yang Lin; Irena Koprinska; Mashud Rana (ICONIP (3), 2020)

Temporal Convolutional Neural Networks for Solar Power Forecasting. - Yang Lin; Irena Koprinska; Mashud Rana (IJCNN, 2020)

A Data-driven Approach for Forecasting State Level Aggregated Solar Photovoltaic Power Production. - Mashud Rana; Ashfaqur Rahman; Jiong Jin (IJCNN, 2020)

Investigating data-driven approaches to understand the interaction between water quality and physiological response of sentinel oysters in natural environment. - Mashud Rana; Ashfaqur Rahman; Daniel Hugo; John McCulloch; Andrew D. Hellicar (Comput. Electron. Agric., 2020)

SSDNet: State Space Decomposition Neural Network for Time Series Forecasting. - Yang Lin; Irena Koprinska; Mashud Rana (ICDM, 2021)

Forecasting Regional Level Solar Power Generation Using Advanced Deep Learning Approach. - Sarah Almaghrabi; Mashud Rana; Margaret Hamilton 001; Mohammad Saiedur Rahaman (IJCNN, 2021)

Spatially Aggregated Photovoltaic Power Prediction Using Wavelet and Convolutional Neural Networks. - Sarah Almaghrabi; Mashud Rana; Margaret Hamilton 001; Mohammad Saiedur Rahaman (IJCNN, 2021)

Temporal Convolutional Attention Neural Networks for Time Series Forecasting. - Yang Lin; Irena Koprinska; Mashud Rana (IJCNN, 2021)

Deep Learning for Prawn Farming - Forecasting and Anomaly Detection. - Joel Janek Dabrowski; Ashfaqur Rahman; Andrew D. Hellicar; Mashud Rana; Stuart Arnold (PAKDD (3), 2022)

Movement Analytics: Current Status, Application to Manufacturing, and Future Prospects from an AI Perspective. - Peter Baumgartner 001; Daniel V. Smith; Mashud Rana; Reena Kapoor; Elena Tartaglia; Andreas Schutt; Ashfaqur Rahman; John A. Taylor; Simon Dunstall (CoRR, 2022)

Solar power time series forecasting utilising wavelet coefficients. - Sarah Almaghrabi; Mashud Rana; Margaret Hamilton 001; Mohammad Saiedur Rahaman (Neurocomputing, 2022)

Automatic Classification of Sensors in Buildings: Learning from Time Series Data. - Mashud Rana; Ashfaqur Rahman; Mahathir Almashor; John McCulloch; Subbu Sethuvenkatraman (AI (1), 2023)

What's The Point: AutoEncoding Building Point Names. - Mahathir Almashor; Mashud Rana; John McCulloch; Ashfaqur Rahman; Subbu Sethuvenkatraman (BuildSys, 2023)

A Semi-supervised Approach for Activity Recognition from Indoor Trajectory Data. - Mashud Rana; Ashfaqur Rahman; Daniel V. Smith (CoRR, 2023)

Multidimensional dynamic attention for multivariate time series forecasting. - Sarah Almaghrabi; Mashud Rana; Margaret Hamilton 001; Mohammad Saiedur Rahaman (Appl. Soft Comput., 2024)

Hierarchical Semi-Supervised Approach for Classifying Activities of Workers Utilising Indoor Trajectory Data. - Mashud Rana; Ashfaqur Rahman; Daniel V. Smith (Internet Things, 2024)

Multivariate solar power time series forecasting using multilevel data fusion and deep neural networks. - Sarah Almaghrabi; Mashud Rana; Margaret Hamilton 001; Mohammad Saiedur Rahaman (Inf. Fusion, 2024)

Inferring Sensor Metadata Based on Machine Learning for Portable Building Applications. - Ashfaqur Rahman; Mashud Rana; Mahathir Almashor; John McCulloch (PAKDD (Workshops), 2025)