DOI
10.9781/ijimai.2013.247
Abstract
We outline a solution to the problem of intelligent control of energy consumption of a smart building system by a prosumer planning agent that acts on the base of the knowledge of the system state and of a prediction of future states. Predictions are obtained by using a synthetic model of the system as obtained with a machine learning approach. We present case studies simulations implementing different instantiations of agents that control an air conditioner according to temperature set points dynamically chosen by the user. The agents are able of energy saving while trying to keep indoor temperature within a given comfort interval.
Source Publication
International Journal of Interactive Multimedia and Artificial Intelligence
Recommended Citation
Caianiello, Pasquale; Costantini, Stefania; Gasperis, Giovanni De; and De Lorenzo, Mario Gimenez
(2013)
"Application of Hybrid Agents to Smart Energy Management of a Prosumer Node,"
International Journal of Interactive Multimedia and Artificial Intelligence: Vol. 2:
Iss.
4, Article 3.
DOI: 10.9781/ijimai.2013.247
Available at:
https://ijimai.researchcommons.org/ijimai/vol2/iss4/3
