2013
DOI: 10.9781/ijimai.2013.247
|View full text |Cite
|
Sign up to set email alerts
|

Application of Hybrid Agents to Smart Energy Management of a Prosumer Node

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 chos… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
2
0

Year Published

2013
2013
2020
2020

Publication Types

Select...
3
2
1

Relationship

0
6

Authors

Journals

citations
Cited by 6 publications
(2 citation statements)
references
References 16 publications
0
2
0
Order By: Relevance
“…Prosumer is a portmanteau word between producer and consumer [5,26,27]. Prosumer node is an energy system concept where producer and consumer are linked to each other within a node.…”
Section: Introductionmentioning
confidence: 99%
“…Prosumer is a portmanteau word between producer and consumer [5,26,27]. Prosumer node is an energy system concept where producer and consumer are linked to each other within a node.…”
Section: Introductionmentioning
confidence: 99%
“…They 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 [7].…”
mentioning
confidence: 99%