AAAI Workshop: AI for Smart Grids and Smart Buildings

Publications

2016

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