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Publications

Journal & Magazine Articles

1. Holistic Measures for Evaluating Prediction Models in Smart Grids
   S. Aman, Y. Simmhan and V. K. Prasanna
   IEEE Transactions on Knowledge and Data Engineering (TKDE), Vol. 27, No. 2, pp. 475-488, 2015. Impact Factor: 8.9
   [Abstract]   [Article]   [BibTex]   [Search]
   
   
2. Cloud-based Software Platform for Data-Driven Smart Grid Management
   Y. Simmhan, S. Aman, A. Kumbhare, R. Liu, S. Stevens, Q. Zhou and V. K. Prasanna
   IEEE/AIP Computing in Science and Engineering (CISE), Jul/Aug 2013. Citations: 200+
   [Abstract]   [Article]   [BibTex]   [Search]
   
   
3. Energy Management Systems: State of the Art and Emerging Trends
   S. Aman, Y. Simmhan and V. K. Prasanna
   IEEE Communications Magazine, Jan 2013. Impact Factor: 11.2, Citations: 230+
   [Abstract]   [Article]   [BibTex]   [Search]
   
   

Conference & Workshop Papers

1. Learning to REDUCE: A Reduced Electricity Consumption Prediction Ensemble
   S. Aman, C. Chelmis, and V. K. Prasanna
   AAAI Workshop on AI for Smart Grids and Smart Buildings, 2016.
   [Abstract]   [Paper]   [Slides]   [BibTex]   [Search]
   
   
2. Prediction Models for Dynamic Demand Response: Requirements, Challenges, and Insights
   S. Aman, M. Frincu, C. Chelmis, M. Noor, Y. Simmhan, V. K. Prasanna
   IEEE International Conference on Smart Grid Communications (SmartGridComm), 2015.
   [Abstract]   [Paper]   [BibTex]   [Search]
   
   
3. On Online Time Series Clustering For Demand Response: OPTIC - A Theory to Break the 'Curse of Dimensionality'
   R. Pal, C. Chelmis, C. Tadepalli, M. Frincu, S. Aman, and V. K.Prasanna
   ACM International Conference on Future Energy Systems (e-Energy), Bangalore, India, 2015. Acceptance rate: 25%
   [Abstract]   [Paper]   [BibTex]   [Search]
   
   
4. Enabling Automated Dynamic Demand Response: From Theory to Practice
   M. Frincu, C. Chelmis, S. Aman, M. R. Saeed, V. Zois, and V. K.Prasanna
   ACM International Conference on Future Energy Systems (e-Energy), Bangalore, India, 2015.
   [Abstract]   [Paper]   [Poster]  [BibTex]   [Search]
   
   
5. Influence-driven Model for Time Series Prediction from Partial Observations
   S. Aman, C. Chelmis and V. K. Prasanna
   AAAI Conference on Artificial Intelligence, Austin, TX, 2015. Acceptance rate: 26%
   [Abstract]   [Paper]   [Poster]   [BibTex]   [Search]
   
   
6. Estimating Reduced Consumption for Dynamic Demand Response
   C. Chelmis, S. Aman, M. R. Saeed, M. Frincu and V. K. Prasanna
   AAAI Workshop on Computational Sustainability, Austin, TX, 2015.
   [Abstract]   [Paper]   [Poster]   [BibTex]   [Search]
   
   
7. Addressing Data Veracity in Big Data Applications
   S. Aman, C. Chelmis and V. K. Prasanna
   Poster Paper, IEEE Conference on Big Data, Washington, DC, 2014.
   [Abstract]   [Paper]   [BibTex]   [Search]
   
   
8. Analytics for Demand Response Optimization in a MicroGrid
   S. Aman
   Doctoral Forum, SIAM International Conference on Data Mining (SDM), Anaheim, CA, 2012
   [Abstract]   [Poster]   [BibTex]   [Search]
   
   
9. Adaptive Energy Forecasting and Information Diffusion for Smart Power Grids
   Y. Simmhan, V. Agarwal, S. Aman, A. Kumbhare, S. Natarajan, N. Rajguru, I. Robinson, S. Stevens, W. Yin, Q. Zhou and V. K. Prasanna
   IEEE International Scalable Computing Challenge (SCALE), 2012, Ottawa, Canada, 2012. First place.
   [Abstract]   [Demo]   [BibTex]   [Search]
   
   
10. Improving Energy Use Forecast for Campus Micro-grids using Indirect Indicators
    S. Aman, Y. Simmhan and V. K. Prasanna
    IEEE ICDM International Workshop on Domain Driven Data Mining (DDDM), Vancouver, Canada, 2011
    [Abstract]   [Paper]   [BibTex]   [Search]
    
    
11. Towards Data-driven Demand-Response Optimization in a Campus Microgrid
    Y. Simmhan, V. K. Prasanna, S. Aman, S. Natarajan, W. Yin and Q. Zhou
    ACM Workshop On Embedded Sensing Systems For Energy-Efficiency In Buildings, Seattle, WA, 2011
    [Abstract]   [Paper]   [BibTex]   [Search]
    
    
12. Using Roget's Thesaurus for Fine-grained Emotion Recognition
    S. Aman and S. Szpakowicz
    International Joint Conference on Natural Language Processing (IJCNLP), Hyderabad, India, 2008. Acceptance rate: 28%, Citations: 130+
    [Abstract]   [Paper]   [Slides]   [BibTex]   [Search]
    
    
13. Identifying Expressions of Emotion in Text
    S. Aman and S. Szpakowicz
    International Conference on Text, Speech and Dialogue (TSD), Plzen, Czech Republic, LNCS 4629, Springer, 2007. Citations: 600+
    [Abstract]   [Paper]   [Poster]   [BibTex]   [Search]
    

Theses & Technical Reports

1. Prediction Models for Dynamic Decision Making in Smart Grid
   S. Aman
   Ph.D. Thesis, University of Southern California, Los Angeles, CA, 2016
   [Abstract]   [Thesis]   [BibTex]   [Search]
   
   
2. Online Time Series Clustering For Demand Response: A Theory to Break the 'Curse of Dimensionality'
   R. Pal, C. Chelmis, S. Aman, M. Frincu, and V. K. Prasanna
   Technical Report 15-955, University of Southern California, Los Angeles, CA, 2015
   [Report]   [BibTex]   [Search]
   
   
3. Enabling Automated Dynamic Demand Response: From Theory to Practice
   M. Frincu, C. Chelmis, S. Aman, M. R. Saeed, V. Zois, and V. K.Prasanna
   Technical Report 15-954, University of Southern California, Los Angeles, CA, 2015
   [Report]   [BibTex]   [Search]
   
   
4. Empirical Comparison of Prediction Methods for Electricity Consumption Forecasting
   S. Aman, M. Frincu, C. Chelmis, M. U. Noor, Y. Simmhan, and V. K. Prasanna
   Technical Report 14-942, University of Southern California, Los Angeles, CA, 2014
   [Report]   [BibTex]   [Search]
   
   
5. An Informatics Approach to Demand Response Optimization in Smart Grids
   Y. Simmhan, S. Aman, B Cao, M. Giakkoupis, A. Kumbhare, Q. Zhou, D. Paul, C. Fern, A. Sharma and V. K. Prasanna
   Technical Report, University of Southern California, Los Angeles, CA, 2011. Citations: 90+
   [Abstract]   [Report]   [BibTex]   [Search]
   
   
6. Recognizing Emotions in Text
   S. Aman
   Master's Thesis, University of Ottawa, Ottawa, Canada, 2007
   [Abstract]   [Thesis]   [BibTex]   [Slides]   [Search]
   

Posters

1. Influence-driven Model for Time Series Prediction from Partial Observations
   S. Aman, C. Chelmis, and V. K. Prasanna
   Annual Research Review, Computer Science Department, USC, Los Angeles, CA, 2015
   [Poster]
   
   
2. Estimating Reduced Consumption for Dynamic Demand Response
   C. Chelmis, S. Aman, M. R. Saeed, M. Frincu, and V. K. Prasanna
   Annual Research Review, Computer Science Department, USC, Los Angeles, CA, 2015
   [Poster]
   
   
3. Dynamic Demand Response Optimization in Smart Grids
   S. Aman, M. Frincu, C. Chelmis, V. Zois, M. U. Noor, M. R. Saeed, Z. Gima, Q. Zhou, Y. Simmhan and V. K. Prasanna
   8th Annual USC-THU Research Symposium, USC, Los Angeles, CA, 2014
   [Poster]
   
   
4. Performance Measures for Electricity Consumption Prediction
   S. Aman
   Annual Research Review, Computer Science Department, USC, Los Angeles, CA, 2013
   [Poster]
   
   
5. Predictive Models of Energy Consumption in USC Campus Buildings
   S. Aman and O. Patri
   Annual Research Review, Computer Science Department, USC, Los Angeles, CA, 2012
   [Poster]
   
   
6. Machine Learning for Demand Forecasting in Smart Grid
   S. Aman, W. Yin, Y. Simmhan and V. K. Prasanna
   Southern California Smart Grid Research Symposium (SoCalSGS), Caltech, Los Angeles, CA, 2011
   [Abstract]   [Poster]
   
   
7. Smart Communication of Energy Use and Prediction in a Smart Grid Software Architecture
   S. Aman, Y. Simmhan and V. K. Prasanna
   Energy Forum: A System Approach Toward red Energy Production and Adaptive Power Distribution, IEEE Coastal Los Angeles Section, CA, 2010
   [Abstract]   [Poster]
   
   
8. Scalable, Secure, Energy Information Management for DR Analysis
   Y. Simmhan, S. Aman, B. Cao, M. Giakkoupis, A. Kumbhare, Q. Zhou, K. Gomadam and V. K. Prasanna
   Southern California Smart Grid Research Symposium (SoCalSGS), USC, Los Angeles, CA, 2010
   [Abstract]   [Poster]