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Cong Feng
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A data-driven multi-model methodology with deep feature selection for short-term wind forecasting
C Feng, M Cui, BM Hodge, J Zhang
Applied Energy 190, 1245-1257, 2017
3122017
Reinforced Deterministic and Probabilistic Load Forecasting via -Learning Dynamic Model Selection
C Feng, M Sun, J Zhang
IEEE Transactions on Smart Grid 11 (2), 1377-1386, 2019
1292019
Unsupervised clustering-based short-term solar forecasting
C Feng, M Cui, BM Hodge, S Lu, HF Hamann, J Zhang
IEEE Transactions on Sustainable Energy 10 (4), 2174-2185, 2018
1152018
SolarNet: A sky image-based deep convolutional neural network for intra-hour solar forecasting
C Feng, J Zhang
Solar Energy 204, 71-78, 2020
1112020
Conditional aggregated probabilistic wind power forecasting based on spatio-temporal correlation
M Sun, C Feng, J Zhang
Applied Energy 256, 113842, 2019
972019
Probabilistic solar power forecasting based on weather scenario generation
M Sun, C Feng, J Zhang
Applied Energy 266, 114823, 2020
922020
Deep learning-based real-time building occupancy detection using AMI data
C Feng, A Mehmani, J Zhang
IEEE Transactions on Smart Grid 11 (5), 4490-4501, 2020
872020
Characterizing and analyzing ramping events in wind power, solar power, load, and netload
M Cui, J Zhang, C Feng, AR Florita, Y Sun, BM Hodge
Renewable energy 111, 227-244, 2017
872017
Convolutional neural networks for intra-hour solar forecasting based on sky image sequences
C Feng, J Zhang, W Zhang, BM Hodge
Applied Energy 310, 118438, 2022
742022
Statistical representation of wind power ramps using a generalized Gaussian mixture model
M Cui, C Feng, Z Wang, J Zhang
IEEE Transactions on Sustainable Energy 9 (1), 261-272, 2017
652017
Multi-distribution ensemble probabilistic wind power forecasting
M Sun, C Feng, J Zhang
Renewable Energy 148, 135-149, 2020
562020
A taxonomical review on recent artificial intelligence applications to PV integration into power grids
C Feng, Y Liu, J Zhang
International Journal of Electrical Power & Energy Systems 132, 107176, 2021
502021
A two-step short-term probabilistic wind forecasting methodology based on predictive distribution optimization
M Sun, C Feng, EK Chartan, BM Hodge, J Zhang
Applied energy 238, 1497-1505, 2019
482019
A review of behind-the-meter solar forecasting
BC Erdener, C Feng, K Doubleday, A Florita, BM Hodge
Renewable and Sustainable Energy Reviews 160, 112224, 2022
422022
OpenSolar: Promoting the openness and accessibility of diverse public solar datasets
C Feng, D Yang, BM Hodge, J Zhang
Solar Energy 188, 1369-1379, 2019
412019
Reinforcement learning based dynamic model selection for short-term load forecasting
C Feng, J Zhang
2019 IEEE Power & Energy Society Innovative Smart Grid Technologies …, 2019
412019
Hourly-similarity based solar forecasting using multi-model machine learning blending
C Feng, J Zhang
2018 IEEE Power & Energy Society General Meeting (PESGM), 1-5, 2018
352018
A learning-augmented approach for AC optimal power flow
J Rahman, C Feng, J Zhang
International Journal of Electrical Power & Energy Systems 130, 106908, 2021
312021
Short-term global horizontal irradiance forecasting based on sky imaging and pattern recognition
C Feng, M Cui, M Lee, J Zhang, BM Hodge, S Lu, HF Hamann
2017 IEEE Power & Energy Society General Meeting, 1-5, 2017
302017
Assessment of aggregation strategies for machine-learning based short-term load forecasting
C Feng, J Zhang
Electric Power Systems Research 184, 106304, 2020
282020
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