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Fei Teng
Fei Teng
Senior Lecturer (Associate Professor), Imperial College London
Verified email at imperial.ac.uk - Homepage
Title
Cited by
Cited by
Year
Stochastic scheduling with inertia-dependent fast frequency response requirements
F Teng, V Trovato, G Strbac
IEEE Transactions on Power Systems 31 (2), 1557-1566, 2015
3222015
Assessment of the role and value of frequency response support from wind plants
F Teng, G Strbac
IEEE Transactions on Sustainable Energy 7 (2), 586-595, 2016
1922016
Modeling frequency dynamics in unit commitment with a high share of renewable energy
Z Zhang, E Du, F Teng, N Zhang, C Kang
IEEE Transactions on Power Systems 35 (6), 4383-4395, 2020
1732020
A deep learning-based remaining useful life prediction approach for bearings
C Cheng, G Ma, Y Zhang, M Sun, F Teng, H Ding, Y Yuan
IEEE/ASME Transactions on Mechatronics 25 (3), 1243-1254, 2020
1512020
Simultaneous scheduling of multiple frequency services in stochastic unit commitment
L Badesa, F Teng, G Strbac
IEEE Transactions on Power Systems 34 (5), 3858-3868, 2019
1512019
Fusion of the 5G communication and the ubiquitous electric internet of things: application analysis and research prospects
Y Wang, Q Chen, N Zhang, C Feng, F Teng, M Sun, C Kang
Dianwang Jishu/Power System Technology, 2019
1352019
Opportunities for energy storage: Assessing whole-system economic benefits of energy storage in future electricity systems
G Strbac, M Aunedi, I Konstantelos, R Moreira, F Teng, R Moreno, ...
IEEE Power and Energy Magazine 15 (5), 32-41, 2017
1092017
Challenges on primary frequency control and potential solution from EVs in the future GB electricity system
F Teng, Y Mu, H Jia, J Wu, P Zeng, G Strbac
Applied energy 194, 353-362, 2017
105*2017
Benefits of flexibility from smart electrified transportation and heating in the future UK electricity system
F Teng, M Aunedi, G Strbac
Applied energy 167, 420-431, 2016
1032016
Towards optimal system scheduling with synthetic inertia provision from wind turbines
Z Chu, U Markovic, G Hug, F Teng
IEEE Transactions on Power Systems 35 (5), 4056-4066, 2020
992020
Clustering-based residential baseline estimation: A probabilistic perspective
M Sun, Y Wang, F Teng, Y Ye, G Strbac, C Kang
IEEE Transactions on Smart Grid 10 (6), 6014-6028, 2019
862019
Scenario generation of aggregated wind, photovoltaics and small hydro production for power systems applications
S Camal, F Teng, A Michiorri, G Kariniotakis, L Badesa
Applied Energy 242, 1396-1406, 2019
832019
Technical review on advanced approaches for electric vehicle charging demand management, Part I: Applications in electric power market and renewable energy integration
F Teng, Z Ding, Z Hu, P Sarikprueck
IEEE Transactions on Industry Applications 56 (5), 5684-5694, 2020
772020
Whole-system assessment of the benefits of integrated electricity and heat system
X Zhang, G Strbac, N Shah, F Teng, D Pudjianto
IEEE Transactions on Smart Grid 10 (1), 1132-1145, 2018
762018
Role and benefits of flexible thermostatically controlled loads in future low-carbon systems
V Trovato, F Teng, G Strbac
IEEE Transactions on Smart Grid 9 (5), 5067-5079, 2017
752017
Technical review on advanced approaches for electric vehicle charging demand management, part ii: Applications in transportation system coordination and infrastructure planning
Z Ding, F Teng, P Sarikprueck, Z Hu
IEEE Transactions on Industry Applications 56 (5), 5695-5703, 2020
742020
Understanding the benefits of dynamic line rating under multiple sources of uncertainty
F Teng, R Dupin, A Michiorri, G Kariniotakis, Y Chen, G Strbac
IEEE Transactions on Power Systems 33 (3), 3306-3314, 2017
702017
An objective-based scenario selection method for transmission network expansion planning with multivariate stochasticity in load and renewable energy sources
M Sun, F Teng, I Konstantelos, G Strbac
Energy 145, 871-885, 2018
692018
Benefits of demand-side response in providing frequency response service in the future GB power system
F Teng, M Aunedi, D Pudjianto, G Strbac
Frontiers in energy research 3, 36, 2015
692015
Challenges and opportunities of inertia estimation and forecasting in low-inertia power systems
E Heylen, F Teng, G Strbac
Renewable and Sustainable Energy Reviews, 2020
672020
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