| 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 | 157 | 2011 |
| 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 | 79 | 2021 |
| 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 | 51 | 2011 |
| 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 | 49 | 2013 |
| 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 | 31 | 2007 |
| 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 | 30 | 2012 |
| 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 | 29 | 2012 |
| 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 | 24 | 2010 |
| 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 | 23 | 2015 |
| Building system with selective use of data for probabilistic forecasting S Murugesan, YM Lee US Patent 11,636,310, 2023 | 11 | 2023 |
| 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 | 9 | 2010 |
| 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 | 8 | 2011 |
| Building system with adaptive fault detection JA Llopis, YM Lee, S Murugesan, SR Vitullo US Patent 11,243,523, 2022 | 7 | 2022 |
| Less is more: Simplified state-action space for deep reinforcement learning based HVAC control S Murugesan, Z Jiang, MJ Risbeck, J Amores, C Zhang, V Ramamurti, ... Proceedings of the 1st International Workshop on Reinforcement Learning for …, 2020 | 7 | 2020 |
| 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 | 7 | 2011 |
| Multiuser scheduling in a Markov-modeled downlink environment S Murugesan, P Schniter, NB Shroff 2008 46th Annual Allerton Conference on Communication, Control, and …, 2008 | 6 | 2008 |
| Opportunistic multiuser scheduling in a three state Markov-modeled downlink S Murugesan, P Schniter arXiv preprint arXiv:0904.1754, 2009 | 5 | 2009 |
| Deep Reinforcement Learning for Energy Cost Optimization in Building HVAC Systems. Z Jiang, MJ Risbeck, V Ramamurti, S Murugesan, J Amores, YM Lee, ... ASHRAE Transactions 127 (1), 2021 | 4 | 2021 |
| Energy flow prediction for electric systems including photovoltaic solar systems S Murugesan, S Thulasingam US Patent 10,523,010, 2019 | 4 | 2019 |
| Modeling and controlling heating, ventilation, and air conditioning systems S Murugesan, B Chung US Patent App. 15/438,619, 2018 | 3 | 2018 |
Ness ShroffDepartment of ECE and CSE, The Ohio State UniversityVerified email at osu.edu
