Mashud Rana

According to our database, Mashud Rana authored at least 38 papers between 2011 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Multivariate solar power time series forecasting using multilevel data fusion and deep neural networks.

Sarah Almaghrabi, Mashud Rana, Margaret Hamilton, Mohammad Saiedur Rahaman

Inf. Fusion, April, 2024

2023

A Semi-supervised Approach for Activity Recognition from Indoor Trajectory Data.

Mashud Rana, Ashfaqur Rahman, Daniel V. Smith

CoRR, 2023

What's The Point: AutoEncoding Building Point Names.

Mahathir Almashor, Mashud Rana, John McCulloch, Ashfaqur Rahman, Subbu Sethuvenkatraman

Proceedings of the 10th ACM International Conference on Systems for Energy-Efficient Buildings, 2023

Automatic Classification of Sensors in Buildings: Learning from Time Series Data.

Mashud Rana, Ashfaqur Rahman, Mahathir Almashor, John McCulloch, Subbu Sethuvenkatraman

Proceedings of the AI 2023: Advances in Artificial Intelligence, 2023

2022

Solar power time series forecasting utilising wavelet coefficients.

Sarah Almaghrabi, Mashud Rana, Margaret Hamilton, Mohammad Saiedur Rahaman

Neurocomputing, 2022

Movement Analytics: Current Status, Application to Manufacturing, and Future Prospects from an AI Perspective.

Peter Baumgartner, Daniel V. Smith, Mashud Rana, Reena Kapoor, Elena Tartaglia, Andreas Schutt, Ashfaqur Rahman, John Taylor, Simon Dunstall

CoRR, 2022

Deep Learning for Prawn Farming - Forecasting and Anomaly Detection.

Joel Janek Dabrowski, Ashfaqur Rahman, Andrew D. Hellicar, Mashud Rana, Stuart Arnold

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2022

2021

Temporal Convolutional Attention Neural Networks for Time Series Forecasting.

Yang Lin, Irena Koprinska, Mashud Rana

Proceedings of the International Joint Conference on Neural Networks, 2021

Spatially Aggregated Photovoltaic Power Prediction Using Wavelet and Convolutional Neural Networks.

Sarah Almaghrabi, Mashud Rana, Margaret Hamilton, Mohammad Saiedur Rahaman

Proceedings of the International Joint Conference on Neural Networks, 2021

Forecasting Regional Level Solar Power Generation Using Advanced Deep Learning Approach.

Sarah Almaghrabi, Mashud Rana, Margaret Hamilton, Mohammad Saiedur Rahaman

Proceedings of the International Joint Conference on Neural Networks, 2021

SSDNet: State Space Decomposition Neural Network for Time Series Forecasting.

Yang Lin, Irena Koprinska, Mashud Rana

Proceedings of the IEEE International Conference on Data Mining, 2021

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

A Data-driven Approach for Forecasting State Level Aggregated Solar Photovoltaic Power Production.

Mashud Rana, Ashfaqur Rahman, Jiong Jin

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Temporal Convolutional Neural Networks for Solar Power Forecasting.

Yang Lin, Irena Koprinska, Mashud Rana

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

SpringNet: Transformer and Spring DTW for Time Series Forecasting.

Yang Lin, Irena Koprinska, Mashud Rana

Proceedings of the Neural Information Processing - 27th International Conference, 2020

Solar Power Forecasting Based on Pattern Sequence Similarity and Meta-learning.

Yang Lin, Irena Koprinska, Mashud Rana, Alicia Troncoso

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2020, 2020

2019

Pattern Sequence Neural Network for Solar Power Forecasting.

Yang Lin, Irena Koprinska, Mashud Rana, Alicia Troncoso

Proceedings of the Neural Information Processing - 26th International Conference, 2019

Dynamic Ensemble Using Previous and Predicted Future Performance for Multi-step-ahead Solar Power Forecasting.

Irena Koprinska, Mashud Rana, Ashfaqur Rahman

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2019: Text and Time Series, 2019

2018

Comparison and Sensitivity Analysis of Methods for Solar PV Power Prediction.

Mashud Rana, Ashfaqur Rahman, Liwan H. Liyanage, Mohammed Nazim Uddin

Proceedings of the Trends and Applications in Knowledge Discovery and Data Mining, 2018

2017

Solar power prediction using weather type pair patterns.

Zheng Wang, Irena Koprinska, Mashud Rana

Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

Solar Power Forecasting Using Pattern Sequences.

Zheng Wang, Irena Koprinska, Mashud Rana

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2017, 2017

2016

Forecasting electricity load with advanced wavelet neural networks.

Mashud Rana, Irena Koprinska

Neurocomputing, 2016

Clustering based methods for solar power forecasting.

Zheng Wang, Irena Koprinska, Mashud Rana

Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Solar power forecasting using weather type clustering and ensembles of neural networks.

Mashud Rana, Irena Koprinska, Vassilios G. Agelidis

Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Extended Weighted Nearest Neighbor for Electricity Load Forecasting.

Mashud Rana, Irena Koprinska, Alicia Troncoso, Vassilios G. Agelidis

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2016, 2016

Cooperative neuro-evolutionary recurrent neural networks for solar power prediction.

Mashud Rana, Rohitash Chandra, Vassilios G. Agelidis

Proceedings of the IEEE Congress on Evolutionary Computation, 2016

2015

Correlation and instance based feature selection for electricity load forecasting.

Irena Koprinska, Mashud Rana, Vassilios G. Agelidis

Knowl. Based Syst., 2015

Forecasting solar power generated by grid connected PV systems using ensembles of neural networks.

Mashud Rana, Irena Koprinska, Vassilios G. Agelidis

Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

2014

Forecasting hourly electricity load profile using neural networks.

Mashud Rana, Irena Koprinska, Alicia Troncoso Lora

Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

2013

Prediction intervals for electricity load forecasting using neural networks.

Mashud Rana, Irena Koprinska, Abbas Khosravi, Vassilios G. Agelidis

Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

Combining pattern sequence similarity with neural networks for forecasting electricity demand time series.

Irena Koprinska, Mashud Rana, Alicia Troncoso Lora, Francisco Martínez-Álvarez

Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

Feature Selection for Neural Network-Based Interval Forecasting of Electricity Demand Data.

Mashud Rana, Irena Koprinska, Abbas Khosravi

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2013, 2013

Wavelet Neural Networks for Electricity Load Forecasting - Dealing with Border Distortion and Shift Invariance.

Mashud Rana, Irena Koprinska

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2013, 2013

2012

Electricity load forecasting using non-decimated wavelet prediction methods with two-stage feature selection.

Mashud Rana, Irena Koprinska

Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012

Feature Selection for Electricity Load Prediction.

Mashud Rana, Irena Koprinska, Vassilios G. Agelidis

Proceedings of the Neural Information Processing - 19th International Conference, 2012

Statistical and Machine Learning Methods for Electricity Demand Prediction.

Alexandra Kotillova, Irena Koprinska, Mashud Rana

Proceedings of the Neural Information Processing - 19th International Conference, 2012

Electricity Load Forecasting: A Weekday-Based Approach.

Irena Koprinska, Mashud Rana, Vassilios G. Agelidis

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2012, 2012

2011

Yearly and seasonal models for electricity load forecasting.

Irena Koprinska, Mashud Rana, Vassilios G. Agelidis

Proceedings of the 2011 International Joint Conference on Neural Networks, 2011