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Jiaming Li
Jiaming Li
Senior Research Scientist, CSIRO Data 61, Sydney
Verified email at csiro.au - Homepage
Title
Cited by
Cited by
Year
Performance comparison and current challenges of using machine learning techniques in cybersecurity
K Shaukat, S Luo, V Varadharajan, IA Hameed, S Chen, D Liu, J Li
Energies 13 (10), 2509, 2020
2102020
Machine learning for solar irradiance forecasting of photovoltaic system
J Li, JK Ward, J Tong, L Collins, G Platt
Renewable energy 90, 542-553, 2016
1802016
Optimal sizing of grid-connected photovoltaic battery systems for residential houses in Australia
J Li
Renewable energy 136, 1245-1254, 2019
1692019
Adaptive HVAC zone modeling for sustainable buildings
G Platt, J Li, R Li, G Poulton, G James, J Wall
Energy and Buildings 42 (4), 412-421, 2010
1432010
An ensemble framework for day-ahead forecast of PV output power in smart grids
MQ Raza, N Mithulananthan, J Li, KY Lee, HB Gooi
IEEE Transactions on Industrial Informatics 15 (8), 4624-4634, 2018
1022018
Automatic Alzheimer’s disease recognition from MRI data using deep learning method
S Luo, X Li, J Li
Journal of Applied Mathematics and Physics 5 (9), 1892-1898, 2017
962017
A smart fridge with an ability to enhance health and enable better nutrition
S Luo, JS Jin, J Li
International Journal of Multimedia and Ubiquitous Engineering 4 (2), 69-80, 2009
862009
System and method for the detection of faults in a multi-variable system utilizing both a model for normal operation and a model for faulty operation
Y Guo, J Li, S West, J Wall, G Platt
US Patent 9,366,451, 2016
832016
Unsupervised feature selection using swarm intelligence and consensus clustering for automatic fault detection and diagnosis in heating ventilation and air conditioning systems
M Yuwono, Y Guo, J Wall, J Li, S West, G Platt, SW Su
Applied Soft Computing 34, 402-425, 2015
632015
Coordination of distributed energy resource agents
J Li, G Poulton, G James
Applied Artificial Intelligence 24 (5), 351-380, 2010
612010
Multivariate ensemble forecast framework for demand prediction of anomalous days
MQ Raza, N Mithulananthan, J Li, KY Lee
IEEE Transactions on Sustainable Energy 11 (1), 27-36, 2018
582018
Indoor air quality control of HVAC system
J Li, J Wall, G Platt
Proceedings of the 2010 International Conference on Modelling …, 2010
562010
A Dynamic Machine Learning-based Technique for Automated Fault Detection in HVAC Systems.
J Wall, Y Guo, J Li, S West
Ashrae Transactions 117 (2), 2011
522011
An approach of household power appliance monitoring based on machine learning
L Jiang, S Luo, J Li
2012 Fifth International Conference on Intelligent Computation Technology …, 2012
502012
Power decomposition based on SVM regression
J Li, S West, G Platt
2012 proceedings of international conference on modelling, identification …, 2012
462012
Agent-based distributed energy management
J Li, G Poulton, G James
Australasian Joint Conference on Artificial Intelligence, 569-578, 2007
462007
Liver segmentation from CT image using fuzzy clustering and level set
X Li, S Luo, J Li
Journal of signal and Information Processing 4 (03), 36, 2013
402013
Automatic power load event detection and appliance classification based on power harmonic features in nonintrusive appliance load monitoring
L Jiang, S Luo, J Li
2013 IEEE 8th Conference on Industrial Electronics and Applications (ICIEA …, 2013
402013
Evolutionary optimisation of distributed energy resources
Y Guo, J Li, G James
AI 2005: Advances in Artificial Intelligence: 18th Australian Joint …, 2005
382005
Automatic lung field segmentation in X-ray radiographs using statistical shape and appearance models
X Li, S Luo, Q Hu, J Li, D Wang, F Chiong
Journal of Medical Imaging and Health Informatics 6 (2), 338-348, 2016
372016
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