Mashud Rana - RankMe

45 papers A* 1B 15C 2Journal 13Unranked 14

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Generative adversarial networks and transfer learning for renewable energy forecasting: a multi-source knowledge fusion approach. Neural Comput. Appl. Sarah Almaghrabi, Mohammad Saiedur Rahaman, Mashud Rana, Margaret Hamilton
2025	—	`conf`	Inferring Sensor Metadata Based on Machine Learning for Portable Building Applications. PAKDD (Workshops) Ashfaqur Rahman, Mashud Rana, Mahathir Almashor, John McCulloch
2024	J	`jnl`	Hierarchical Semi-Supervised Approach for Classifying Activities of Workers Utilising Indoor Trajectory Data. Internet Things Mashud Rana, Ashfaqur Rahman, Daniel V. Smith
2024	J	`jnl`	Multidimensional dynamic attention for multivariate time series forecasting. Appl. Soft Comput. Sarah Almaghrabi, Mashud Rana, Margaret Hamilton, Mohammad Saiedur Rahaman
2024	J	`jnl`	Multivariate solar power time series forecasting using multilevel data fusion and deep neural networks. Inf. Fusion Sarah Almaghrabi, Mashud Rana, Margaret Hamilton, Mohammad Saiedur Rahaman
2023	J	`jnl`	A Semi-supervised Approach for Activity Recognition from Indoor Trajectory Data. CoRR Mashud Rana, Ashfaqur Rahman, Daniel V. Smith
2023	—	`conf`	Automatic Classification of Sensors in Buildings: Learning from Time Series Data. AI (1) Mashud Rana, Ashfaqur Rahman, Mahathir Almashor, John McCulloch, Subbu Sethuvenkatraman
2023	—	`conf`	What's The Point: AutoEncoding Building Point Names. BuildSys Mahathir Almashor, Mashud Rana, John McCulloch, Ashfaqur Rahman, Subbu Sethuvenkatraman
2022	—	`conf`	Deep Learning for Prawn Farming - Forecasting and Anomaly Detection. PAKDD (3) Joel Janek Dabrowski, Ashfaqur Rahman, Andrew D. Hellicar, Mashud Rana, Stuart Arnold
2022	J	`jnl`	Deep Learning for Prawn Farming: Forecasting and Anomaly Detection. CoRR Joel Janek Dabrowski, Ashfaqur Rahman, Andrew D. Hellicar, Mashud Rana, Stuart Arnold
2022	J	`jnl`	Movement Analytics: Current Status, Application to Manufacturing, and Future Prospects from an AI Perspective. CoRR Peter Baumgartner, Daniel V. Smith, Mashud Rana, Reena Kapoor, Elena Tartaglia, Andreas Schutt, Ashfaqur Rahman, John A. Taylor, Simon Dunstall
2022	J	`jnl`	Solar Power Time Series Forecasting Utilising Wavelet Coefficients. CoRR Sarah Almaghrabi, Mashud Rana, Margaret Hamilton, Mohammad Saiedur Rahaman
2022	J	`jnl`	Solar power time series forecasting utilising wavelet coefficients. Neurocomputing Sarah Almaghrabi, Mashud Rana, Margaret Hamilton, Mohammad Saiedur Rahaman
2021	B	`conf`	Forecasting Regional Level Solar Power Generation Using Advanced Deep Learning Approach. IJCNN Sarah Almaghrabi, Mashud Rana, Margaret Hamilton, Mohammad Saiedur Rahaman
2021	A*	`conf`	SSDNet: State Space Decomposition Neural Network for Time Series Forecasting. ICDM Yang Lin, Irena Koprinska, Mashud Rana
2021	J	`jnl`	SSDNet: State Space Decomposition Neural Network for Time Series Forecasting. CoRR Yang Lin, Irena Koprinska, Mashud Rana
2021	B	`conf`	Spatially Aggregated Photovoltaic Power Prediction Using Wavelet and Convolutional Neural Networks. IJCNN Sarah Almaghrabi, Mashud Rana, Margaret Hamilton, Mohammad Saiedur Rahaman
2021	B	`conf`	Temporal Convolutional Attention Neural Networks for Time Series Forecasting. IJCNN Yang Lin, Irena Koprinska, Mashud Rana
2020	B	`conf`	A Data-driven Approach for Forecasting State Level Aggregated Solar Photovoltaic Power Production. IJCNN Mashud Rana, Ashfaqur Rahman, Jiong Jin
2020	J	`jnl`	Investigating data-driven approaches to understand the interaction between water quality and physiological response of sentinel oysters in natural environment. Comput. Electron. Agric. Mashud Rana, Ashfaqur Rahman, Daniel Hugo, John McCulloch, Andrew D. Hellicar
2020	—	`conf`	Solar Power Forecasting Based on Pattern Sequence Similarity and Meta-learning. ICANN (1) Yang Lin, Irena Koprinska, Mashud Rana, Alicia Troncoso
2020	—	`conf`	SpringNet: Transformer and Spring DTW for Time Series Forecasting. ICONIP (3) Yang Lin, Irena Koprinska, Mashud Rana
2020	B	`conf`	Temporal Convolutional Neural Networks for Solar Power Forecasting. IJCNN Yang Lin, Irena Koprinska, Mashud Rana
2019	—	`conf`	Dynamic Ensemble Using Previous and Predicted Future Performance for Multi-step-ahead Solar Power Forecasting. ICANN (4) Irena Koprinska, Mashud Rana, Ashfaqur Rahman
2019	—	`conf`	Pattern Sequence Neural Network for Solar Power Forecasting. ICONIP (5) Yang Lin, Irena Koprinska, Mashud Rana, Alicia Troncoso
2018	—	`conf`	Comparison and Sensitivity Analysis of Methods for Solar PV Power Prediction. PAKDD (Workshops) Mashud Rana, Ashfaqur Rahman, Liwan H. Liyanage, Mohammed Nazim Uddin
2017	—	`conf`	Solar Power Forecasting Using Pattern Sequences. ICANN (2) Zheng Wang, Irena Koprinska, Mashud Rana
2017	B	`conf`	Solar power prediction using weather type pair patterns. IJCNN Zheng Wang, Irena Koprinska, Mashud Rana
2016	B	`conf`	Clustering based methods for solar power forecasting. IJCNN Zheng Wang, Irena Koprinska, Mashud Rana
2016	B	`conf`	Cooperative neuro-evolutionary recurrent neural networks for solar power prediction. CEC Mashud Rana, Rohitash Chandra, Vassilios G. Agelidis
2016	—	`conf`	Extended Weighted Nearest Neighbor for Electricity Load Forecasting. ICANN (2) Mashud Rana, Irena Koprinska, Alicia Troncoso, Vassilios G. Agelidis
2016	J	`jnl`	Forecasting electricity load with advanced wavelet neural networks. Neurocomputing Mashud Rana, Irena Koprinska
2016	B	`conf`	Solar power forecasting using weather type clustering and ensembles of neural networks. IJCNN Mashud Rana, Irena Koprinska, Vassilios G. Agelidis
2015	J	`jnl`	Correlation and instance based feature selection for electricity load forecasting. Knowl. Based Syst. Irena Koprinska, Mashud Rana, Vassilios G. Agelidis
2015	B	`conf`	Forecasting solar power generated by grid connected PV systems using ensembles of neural networks. IJCNN Mashud Rana, Irena Koprinska, Vassilios G. Agelidis
2014	B	`conf`	Forecasting hourly electricity load profile using neural networks. IJCNN Mashud Rana, Irena Koprinska, Alicia Troncoso Lora
2013	B	`conf`	Combining pattern sequence similarity with neural networks for forecasting electricity demand time series. IJCNN Irena Koprinska, Mashud Rana, Alicia Troncoso Lora, Francisco Martínez-Álvarez
2013	C	`conf`	Feature Selection for Neural Network-Based Interval Forecasting of Electricity Demand Data. ICANN Mashud Rana, Irena Koprinska, Abbas Khosravi
2013	B	`conf`	Prediction intervals for electricity load forecasting using neural networks. IJCNN Mashud Rana, Irena Koprinska, Abbas Khosravi, Vassilios G. Agelidis
2013	C	`conf`	Wavelet Neural Networks for Electricity Load Forecasting - Dealing with Border Distortion and Shift Invariance. ICANN Mashud Rana, Irena Koprinska
2012	—	`conf`	Electricity Load Forecasting: A Weekday-Based Approach. ICANN (2) Irena Koprinska, Mashud Rana, Vassilios G. Agelidis
2012	B	`conf`	Electricity load forecasting using non-decimated wavelet prediction methods with two-stage feature selection. IJCNN Mashud Rana, Irena Koprinska
2012	—	`conf`	Feature Selection for Electricity Load Prediction. ICONIP (2) Mashud Rana, Irena Koprinska, Vassilios G. Agelidis
2012	—	`conf`	Statistical and Machine Learning Methods for Electricity Demand Prediction. ICONIP (2) Alexandra Kotillova, Irena Koprinska, Mashud Rana
2011	B	`conf`	Yearly and seasonal models for electricity load forecasting. IJCNN Irena Koprinska, Mashud Rana, Vassilios G. Agelidis