フォロー
Nasrin Sadeghianpourhamami
Nasrin Sadeghianpourhamami
Terawatt
確認したメール アドレス: bluwave-ai.com
タイトル
引用先
引用先
Quantitive analysis of electric vehicle flexibility: A data-driven approach
N Sadeghianpourhamami, N Refa, M Strobbe, C Develder
International Journal of Electrical Power & Energy Systems 95, 451-462, 2018
1902018
Comprehensive feature selection for appliance classification in NILM
N Sadeghianpourhamami, J Ruyssinck, D Deschrijver, T Dhaene, ...
Energy and Buildings 151, 98-106, 2017
1862017
Definition and evaluation of model-free coordination of electrical vehicle charging with reinforcement learning
N Sadeghianpourhamami, J Deleu, C Develder
IEEE Transactions on Smart Grid 11 (1), 203-214, 2019
1192019
Quantifying flexibility in EV charging as DR potential: Analysis of two real-world data sets
C Develder, N Sadeghianpourhamami, M Strobbe, N Refa
2016 IEEE International Conference on Smart Grid Communications …, 2016
982016
Modeling and analysis of residential flexibility: Timing of white good usage
N Sadeghianpourhamami, T Demeester, DF Benoit, M Strobbe, ...
Applied energy 179, 790-805, 2016
402016
Joint channel assignment and routing in multiradio multichannel wireless mesh networks with directional antennas
N Sadeghianpour, TC Chuah, SW Tan
International Journal of Communication Systems 28 (9), 1521-1536, 2015
162015
Achieving scalable model-free demand response in charging an electric vehicle fleet with reinforcement learning
N Sadeghianpourhamami, J Deleu, C Develder
Proceedings of the Ninth International Conference on Future Energy Systems …, 2018
122018
Real-world user flexibility of energy consumption: Two-stage generative model construction
N Sadeghianpourhamami, M Strobbe, C Develder
Proceedings of the 31st Annual ACM Symposium on Applied Computing, 2148-2153, 2016
122016
Reduced state space and cost function in reinforcement learning for demand response control of multiple EV charging stations
M Lahariya, N Sadeghianpourhamami, C Develder
Proceedings of the 6th ACM international conference on systems for energy …, 2019
102019
Improved topology control for multiradio multichannel wireless mesh networks with directional antennas
N Sadeghianpour, TC Chuah, SW Tan
2011 7th International Wireless Communications and Mobile Computing …, 2011
102011
Bayesian cylindrical data modeling using Abe–Ley mixtures
N Sadeghianpourhamami, DF Benoit, D Deschrijver, C Develder
Applied Mathematical Modelling 68, 629-642, 2019
42019
Joint resource allocation in multi-radio multi-channel wireless mesh networks with practical sectored antennas
NS Hamami, TC Chuah, SW Tan
2010 International Conference on Computer Applications and Industrial …, 2010
42010
Modeling real-world flexibility of residential power consumption: Exploring the cylindrical WeiSSVM distribution
N Sadeghianpourhamami, DF Benoit, D Deschrijver, C Develder
Proceedings of the Ninth International Conference on Future Energy Systems …, 2018
22018
Computationally efficient joint coordination of multiple electric vehicle charging points using reinforcement learning
M Lahariya, N Sadeghianpourhamami, C Develder
arXiv preprint arXiv:2203.14078, 2022
12022
Methods and systems for electric vehicle telematics estimation
M Farrokhabadi, N Sadeghianpourhamami, R Gahlawat, P Devashish
US Patent App. 17/870,025, 2024
2024
Systems and methods for accelerated computations in data-driven energy management systems
O Kelly, N Sadeghianpourhamami, M Farrokhabadi
US Patent App. 17/371,398, 2023
2023
Systems and methods for adaptive optimization for electric vehicle fleet charging
N Sadeghianpourhamami, M Farrokhabadi
US Patent App. 17/592,690, 2022
2022
Systems and methods for data-driven energy management of a vehicle fleet with electric vehicles
N Sadeghianpourhamami, A Linchieh, M Farrokhabadi, P Devashish
US Patent App. 17/102,480, 2022
2022
Systems and methods for adaptive optimization for electric vehicle fleet charging
N Sadeghianpourhamami, M Farrokhabadi
US Patent 11,267,362, 2022
2022
Optimized cost function for demand response coordination of multiple EV charging stations using reinforcement learning
M Lahariya, N Sadeghianpourhamami, C Develder
arXiv preprint arXiv:2203.01654, 2022
2022
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