Hao Quan (权浩)
Title
Cited by
Cited by
Year
Short-term load and wind power forecasting using neural network-based prediction intervals
H Quan, D Srinivasan, A Khosravi
IEEE Transactions on Neural Networks and Learning Systems 25 (2), 303-315, 2014
4762014
A computational framework for uncertainty integration in stochastic unit commitment with intermittent renewable energy sources
H Quan, D Srinivasan, AM Khambadkone, A Khosravi
Applied energy 152, 71-82, 2015
1532015
Uncertainty handling using neural network-based prediction intervals for electrical load forecasting
H Quan, D Srinivasan, A Khosravi
Energy 73, 916-925, 2014
1122014
Incorporating wind power forecast uncertainties into stochastic unit commitment using neural network-based prediction intervals
H Quan, D Srinivasan, A Khosravi
IEEE transactions on neural networks and learning systems 26 (9), 2123-2135, 2014
862014
Particle swarm optimization for construction of neural network-based prediction intervals
H Quan, D Srinivasan, A Khosravi
Neurocomputing 127, 172-180, 2014
782014
An improved quantile regression neural network for probabilistic load forecasting
W Zhang, H Quan, D Srinivasan
IEEE Transactions on Smart Grid 10 (4), 4425-4434, 2018
672018
Reconciling solar forecasts: Geographical hierarchy
D Yang, H Quan, VR Disfani, L Liu
Solar Energy 146, 276-286, 2017
482017
Integration of renewable generation uncertainties into stochastic unit commitment considering reserve and risk: A comparative study
H Quan, D Srinivasan, A Khosravi
Energy 103, 735-745, 2016
482016
Parallel and reliable probabilistic load forecasting via quantile regression forest and quantile determination
W Zhang, H Quan, D Srinivasan
Energy 160, 810-819, 2018
462018
Reconciling solar forecasts: Temporal hierarchy
D Yang, H Quan, VR Disfani, CD Rodríguez-Gallegos
Solar Energy 158, 332-346, 2017
412017
A multi-agent based integrated volt-var optimization engine for fast vehicle-to-grid reactive power dispatch and electric vehicle coordination
W Zhang, O Gandhi, H Quan, CD Rodríguez-Gallegos, D Srinivasan
Applied Energy 229, 96-110, 2018
242018
Construction of neural network-based prediction intervals using particle swarm optimization
H Quan, D Srinivasan, A Khosravi
The 2012 International Joint Conference on Neural Networks (IJCNN), 1-7, 2012
232012
A survey of computational intelligence techniques for wind power uncertainty quantification in smart grids
H Quan, A Khosravi, D Yang, D Srinivasan
IEEE transactions on neural networks and learning systems 31 (11), 4582-4599, 2019
222019
Quality control for solar irradiance data
D Yang, GM Yagli, H Quan
2018 IEEE Innovative Smart Grid Technologies-Asia (ISGT Asia), 208-213, 2018
142018
An ensemble machine learning based approach for constructing probabilistic PV generation forecasting
W Zhang, H Quan, O Gandhi, CD Rodríguez-Gallegos, A Sharma, ...
2017 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC), 1-6, 2017
142017
Construction of neural network-based prediction intervals for short-term electrical load forecasting
H Quan, D Srinivasan, A Khosravi, S Nahavandi, D Creighton
2013 IEEE Computational Intelligence Applications in Smart Grid (CIASG), 66-72, 2013
142013
Probabilistic solar irradiance transposition models
H Quan, D Yang
Renewable and Sustainable Energy Reviews 125, 109814, 2020
132020
Improving probabilistic load forecasting using quantile regression NN with skip connections
W Zhang, H Quan, O Gandhi, R Rajagopal, CW Tan, D Srinivasan
IEEE Transactions on Smart Grid 11 (6), 5442-5450, 2020
82020
A stochastic power flow study to investigate the effects of renewable energy integration
H Quan, D Yang, AM Khambadkone, D Srinivasan
2018 IEEE Innovative Smart Grid Technologies-Asia (ISGT Asia), 19-24, 2018
52018
Prediction Interval Construction for Electric Load and Wind Power via Machine Learning
W Zhang, H Quan, D Srinivasan
2018 IEEE Innovative Smart Grid Technologies-Asia (ISGT Asia), 716-721, 2018
22018
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Articles 1–20