TY - JOUR
KW - Energy
KW - Multi-Agent Systems
KW - Agents
KW - Prosumer Node
KW - HVAC
AU - Pasquale Caianiello
AU - Stefania Costantini
AU - Giovanni De Gasperis
AU - Mario Gimenez De Lorenzo
AB - 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.
IS - Regular Issue
M1 - 4
N2 - 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.
PY - 2013
SP - 60
EP - 66
T2 - International Journal of Interactive Multimedia and Artificial Intelligence
TI - Application of Hybrid Agents to Smart Energy Management of a Prosumer Node
UR - http://www.ijimai.org/journal/sites/default/files/files/2013/10/ijimai20132_4_7_pdf_88975.pdf
VL - 2
SN - 1989-1660
ER -