01336nas a2200253   4500000000100000000000100001008004100002260001200043653001100055653002400066653001100090653001800101653000900119100002400128700002400152700002500176700002900201245007900230856009800309300001000407490000600417520064500423022001401068       2013                            d  c12/201310aEnergy10aMulti-Agent Systems10aAgents10aProsumer Node10aHVAC1 aPasquale Caianiello1 aStefania Costantini1 aGiovanni De Gasperis1 aMario Gimenez De Lorenzo00aApplication of Hybrid Agents to Smart Energy Management of a Prosumer Node  uhttp://www.ijimai.org/journal/sites/default/files/files/2013/10/ijimai20132_4_7_pdf_88975.pdf  a60-660 v23 aWe 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.  a1989-1660