Saima Aman
Cited by
Cited by
Identifying expressions of emotion in text
S Aman, S Szpakowicz
International Conference on Text, Speech and Dialogue, 196-205, 2007
Cloud-based software platform for big data analytics in smart grids
Y Simmhan, S Aman, A Kumbhare, R Liu, S Stevens, Q Zhou, V Prasanna
Computing in Science & Engineering 15 (4), 38-47, 2013
Energy management systems: state of the art and emerging trends
S Aman, Y Simmhan, VK Prasanna
IEEE Communications Magazine 51 (1), 114-119, 2013
Using roget’s thesaurus for fine-grained emotion recognition
S Aman, S Szpakowicz
Proceedings of the Third International Joint Conference on Natural Language …, 2008
Improving energy use forecast for campus micro-grids using indirect indicators
S Aman, Y Simmhan, VK Prasanna
IEEE International Conference on Data Mining Workshops (ICDMW), 389-397, 2011
Holistic measures for evaluating prediction models in smart grids
S Aman, Y Simmhan, VK Prasanna
IEEE Transactions on Knowledge and Data Engineering (TKDE) 27 (2), 2015
An informatics approach to demand response optimization in smart grids
Y Simmhan, S Aman, B Cao, M Giakkoupis, A Kumbhare, Q Zhou, D Paul, ...
Technical report, USC Computer Science 31, 60, 2011
Prediction models for dynamic demand response: Requirements, challenges, and insights
S Aman, M Frincu, C Chelmis, M Noor, Y Simmhan, VK Prasanna
2015 IEEE International Conference on Smart Grid Communications …, 2015
Cloud-based software platform for data-driven smart grid management
Y Simmhan, S Aman, A Kumbhare, R Liu, S Stevens, Q Zhou, V Prasanna
IEEE/AIP computing in science and engineering 79, 2013
Empirical comparison of prediction methods for electricity consumption forecasting
S Aman, M Frincu, C Charalampos, U Noor, Y Simmhan, V Prasanna
University of Southern California, Tech. Rep, 14-942, 2014
Toward data-driven demand-response optimization in a campus microgrid
Y Simmhan, V Prasanna, S Aman, S Natarajan, W Yin, Q Zhou
ACM Workshop on Embedded Sensing Systems for Energy-Efficiency in Buildings …, 2011
Recognizing emotions in text
S Aman
University of Ottawa (Canada), 2007
Estimating reduced consumption for dynamic demand response
C Chelmis, S Aman, MR Saeed, M Frincu, VK Prasanna
City of Los Angeles Department, CA (United States), 2015
Influence-Driven Model for Time Series Prediction from Partial Observations
S Aman, C Chelmis, VK Prasanna
AAAI Conference on Artificial Intelligence, 2015
Learning to reduce: A reduced electricity consumption prediction ensemble
S Aman, C Chelmis, V Prasanna
City of Los Angeles Department, 2016
Addressing data veracity in big data applications
S Aman, C Chelmis, V Prasanna
2014 IEEE International Conference on Big Data (Big Data), 1-3, 2014
Online Time Series Clustering For Demand Response A Theory to Break the ‘Curse of Dimensionality’
R Pal, C Chelmis, S Aman, M Frincu, V Prasanna
ACM e-Energy Conference, 2015
University of Southern California,“
S Aman, Y Simmhan, VK Prasanna
Energy Management Systems: State of the Art and Emerging Trends”, rivista …, 2013
Enabling automated dynamic demand response: From theory to practice
M Frincu, C Chelmis, R Saeed, V Prasanna, S Aman, V Zois, C Fern, ...
Proceedings of the 2015 ACM Sixth International Conference on Future Energy …, 2015
Adaptive energy forecasting and information diffusion for smart power grids
Y Simmhan, V Agarwal, S Aman, A Kumbhare, S Natarajan, N Rajguru, ...
City of Los Angeles Department, CA (United States), 2012
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