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ORCIDAAAI Workshop: AI for Smart Grids and Smart Buildings 2016: Phoenix, Arizona, USA
- Enrico Pontelli, Alex Rogers, Sylvie Thiébaux, Tran Cao Son:
AI for Smart Grids and Smart Buildings, Papers from the 2016 AAAI Workshop, Phoenix, Arizona, USA, February 12, 2016. AAAI Technical Report WS-16-04, AAAI Press 2016 - Saima Aman, Charalampos Chelmis, Viktor K. Prasanna:
Learning to REDUCE: A Reduced Electricity Consumption Prediction Ensemble. - Aniruddha Basak, Ole J. Mengshoel, Stefan Hosein, Rodney Martin:
Scalable Causal Learning for Predicting Adverse Events in Smart Buildings. - Aniruddha Basak, Ole J. Mengshoel, Stefan Hosein, Rodney Martin, Jayasudha Jayakumaran, Mario Gurrola Morga, Ishwari Aghav:
Identifying Contributing Factors of Occupant Thermal Discomfort in a Smart Building. - Kirstin Early, Stephen E. Fienberg, Jennifer Mankoff:
Cost-Effective Feature Selection and Ordering for Personalized Energy Estimates. - Khoi D. Hoang, Ferdinando Fioretto, Ping Hou, Makoto Yokoo, William Yeoh, Roie Zivan:
Proactive Dynamic DCOPs. - Caner Komurlu, Mustafa Bilgic:
Active Inference and Dynamic Gaussian Bayesian Networks for Battery Optimization in Wireless Sensor Networks. - Henning Lange, Mario Berges:
Efficient Inference in Dual-Emission FHMM for Energy Disaggregation. - Daniel Urieli, Peter Stone:
An MDP-Based Winning Approach to Autonomous Power Trading: Formalization and Empirical Analysis. - Mark Valovage, Maria L. Gini:
Automatic Label Correction and Appliance Prioritization in Single Household Electricity Disaggregation. - Erwin Walraven, Matthijs T. J. Spaan:
Planning under Uncertainty for Aggregated Electric Vehicle Charging Using Markov Decision Processes.
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