Takip et
Sugumar Murugesan
Sugumar Murugesan
Johnson Controls, Inc.
buckeyemail.osu.edu üzerinde doğrulanmış e-posta adresine sahip
Başlık
Alıntı yapanlar
Alıntı yapanlar
Yıl
Multiple timescale dispatch and scheduling for stochastic reliability in smart grids with wind generation integration
M He, S Murugesan, J Zhang
2011 Proceedings IEEE INFOCOM, 461-465, 2011
1522011
A multi-timescale scheduling approach for stochastic reliability in smart grids with wind generation and opportunistic demand
M He, S Murugesan, J Zhang
IEEE Transactions on Smart Grid 4 (1), 521-529, 2013
502013
Exploiting channel memory for joint estimation and scheduling in downlink networks
W Ouyang, S Murugesan, A Eryilmaz, NB Shroff
2011 Proceedings IEEE INFOCOM, 3056-3064, 2011
492011
Multiuser scheduling in a Markov-modeled downlink using randomly delayed ARQ feedback
S Murugesan, P Schniter, NB Shroff
IEEE Transactions on Information Theory 58 (2), 1025-1042, 2012
292012
Optimization of training and scheduling in the non-coherent SIMO multiple access channel
S Murugesan, E Uysal-Biyikoglu, P Schniter
IEEE Journal on Selected Areas in Communications 25 (7), 1446-1456, 2007
292007
Finite state Markov chain model for wind generation forecast: A data-driven spatiotemporal approach
S Murugesan, J Zhang, V Vittal
2012 IEEE PES Innovative Smart Grid Technologies (ISGT), 1-8, 2012
282012
Scheduling with rate adaptation under incomplete knowledge of channel/estimator statistics
W Ouyang, S Murugesan, A Eryilmaz, NB Shroff
2010 48th Annual Allerton Conference on Communication, Control, and …, 2010
232010
Exploiting channel memory for joint estimation and scheduling in downlink networks—A Whittle’s indexability analysis
W Ouyang, S Murugesan, A Eryilmaz, NB Shroff
IEEE Transactions on Information Theory 61 (4), 1702-1719, 2015
192015
Building HVAC control with reinforcement learning for reduction of energy cost and demand charge
Z Jiang, MJ Risbeck, V Ramamurti, S Murugesan, J Amores, C Zhang, ...
Energy and Buildings 239, 110833, 2021
172021
Opportunistic scheduling using ARQ feedback in multi-cell downlink
S Murugesan, P Schniter, NB Shroff
2010 Conference Record of the Forty Fourth Asilomar Conference on Signals …, 2010
92010
Adaptive selection of machine learning/deep learning model with optimal hyper-parameters for anomaly detection of connected chillers
S Murugesan, YM Lee, ZY Jin, J Amores
US Patent App. 16/198,416, 2019
72019
Building system with selective use of data for probabilistic forecasting
S Murugesan, YM Lee
US Patent App. 16/549,656, 2021
62021
Adaptive training and deployment of single chiller and clustered chiller fault detection models for connected chillers
YM Lee, S Murugesan, ZY Jin, J Amores, KC Schuster, SR Vitullo, ...
US Patent App. 16/198,456, 2019
62019
Automatic threshold selection of maching learning/deep learning model for anomaly detection of connected chillers
S Murugesan, YM Lee, ZY Jin, J Amores
US Patent App. 16/198,377, 2019
62019
A Markov decision process approach to multi-timescale scheduling and pricing in smart grids with integrated wind generation
M He, S Murugesan, J Zhang
2011 4th IEEE International Workshop on Computational Advances in Multi …, 2011
62011
Real-time scheduling over Markovian channels: When partial observability meets hard deadlines
L Yang, S Murugesan, J Zhang
2011 IEEE Global Telecommunications Conference-GLOBECOM 2011, 1-5, 2011
62011
Multiuser scheduling in a Markov-modeled downlink environment
S Murugesan, P Schniter, NB Shroff
2008 46th Annual Allerton Conference on Communication, Control, and …, 2008
62008
Building system with model training to handle selective forecast data
S Murugesan, YM Lee
US Patent App. 16/549,744, 2021
52021
Building system with probabilistic forecasting using a recurrent neural network sequence to sequence model
S Murugesan, YM Lee
US Patent App. 16/549,037, 2021
52021
Opportunistic multiuser scheduling in a three state Markov-modeled downlink
S Murugesan, P Schniter
arXiv preprint arXiv:0904.1754, 2009
52009
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