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Md Mashud Rana
Md Mashud Rana
Data61 | CSIRO
Verified email at data61.csiro.au
Title
Cited by
Cited by
Year
Correlation and instance based feature selection for electricity load forecasting
I Koprinska, M Rana, VG Agelidis
Knowledge-Based Systems 82, 29-40, 2015
2422015
Univariate and multivariate methods for very short-term solar photovoltaic power forecasting
M Rana, I Koprinska, VG Agelidis
Energy Conversion and Management 121, 380–390, 2016
2032016
Forecasting electricity load with advanced wavelet neural networks
M Rana, I Koprinska
Neurocomputing 182, 118-132, 2016
1702016
2D-interval forecasts for solar power production
M Rana, I Koprinska, VG Agelidis
Solar Energy 122, 191-203, 2015
992015
Multiple steps ahead solar photovoltaic power forecasting based on univariate machine learning models and data re-sampling
M Rana, A Rahman
Sustainable Energy, Grids and Networks 21, 100286, 2020
772020
Forecasting solar power generated by grid connected PV systems using ensembles of neural networks
M Rana, I Koprinska, VG Agelidis
2015 International Joint Conference on Neural Networks (IJCNN), 1-8, 2015
602015
Combining pattern sequence similarity with neural networks for forecasting electricity demand time series
I Koprinska, M Rana, A Troncoso, F Martínez-Álvarez
The 2013 International Joint Conference on Neural Networks (IJCNN), 1-8, 2013
512013
Yearly and seasonal models for electricity load forecasting
I Koprinska, M Rana, VG Agelidis
The 2011 International Joint Conference on Neural Networks, 1474-1481, 2011
402011
Solar power forecasting using weather type clustering and ensembles of neural networks
M Rana, I Koprinska, VG Agelidis
2016 International Joint Conference on Neural Networks (IJCNN), 4962-4969, 2016
382016
SSDNet: State space decomposition neural network for time series forecasting
Y Lin, I Koprinska, M Rana
2021 IEEE International Conference on Data Mining (ICDM), 370-378, 2021
302021
Temporal convolutional neural networks for solar power forecasting
Y Lin, I Koprinska, M Rana
2020 International Joint Conference on Neural Networks (IJCNN), 1-8, 2020
292020
Prediction intervals for electricity load forecasting using neural networks
M Rana, I Koprinska, A Khosravi, VG Agelidis
The 2013 international joint conference on neural networks (IJCNN), 1-8, 2013
282013
Forecasting hourly electricity load profile using neural networks
M Rana, I Koprinska, A Troncoso
2014 International joint conference on neural networks (IJCNN), 824-831, 2014
262014
Temporal convolutional attention neural networks for time series forecasting
Y Lin, I Koprinska, M Rana
2021 International joint conference on neural networks (IJCNN), 1-8, 2021
252021
A data-driven approach based on quantile regression forest to forecast cooling load for commercial buildings
M Rana, S Sethuvenkatraman, M Goldsworthy
Sustainable Cities and Society 76, 103511, 2022
242022
Clustering Based Methods for Solar Power Forecasting
Z Wang, I Koprinska, M Rana
International Joint Conference on Neural Networks (IJCNN), 2016
232016
Machine learning approach to investigate the influence of water quality on aquatic livestock in freshwater ponds
M Rana, A Rahman, J Dabrowski, S Arnold, J McCulloch, B Pais
Biosystems Engineering 208, 164-175, 2021
192021
SpringNet: Transformer and Spring DTW for time series forecasting
Y Lin, I Koprinska, M Rana
Neural Information Processing: 27th International Conference, ICONIP 2020 …, 2020
192020
An integrated framework of sensing, machine learning, and augmented reality for aquaculture prawn farm management
A Rahman, M Xi, JJ Dabrowski, J McCulloch, S Arnold, M Rana, A George, ...
Aquacultural Engineering 95, 102192, 2021
172021
A data-driven approach for forecasting state level aggregated solar photovoltaic power production
M Rana, A Rahman, J Jin
2020 International Joint Conference on Neural Networks (IJCNN), 1-8, 2020
152020
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