Detail publikace
A Heuristic Algorithm to Compute Multimodal Criterial Function Weights for Demand Management in Residential Areas
Originální název
A Heuristic Algorithm to Compute Multimodal Criterial Function Weights for Demand Management in Residential Areas
Anglický název
A Heuristic Algorithm to Compute Multimodal Criterial Function Weights for Demand Management in Residential Areas
Jazyk
en
Originální abstrakt
We present the conceptual design of a collective control scheme for appliances within a smart home. Based on the relevant energy acquisition procedures, three appliance groups are defined, modeled, and completed with an energy storage as well as a generator using renewable sources. At the following stage, a mixed quadratic optimization problem is presented, with the solution consisting in a time plan to regulate the operation of the individual devices. Importantly, the paper also proposes a heuristic algorithm securing consistent functionality of the computational process even despite the varying input and user conditions given in the receding horizon.
Anglický abstrakt
We present the conceptual design of a collective control scheme for appliances within a smart home. Based on the relevant energy acquisition procedures, three appliance groups are defined, modeled, and completed with an energy storage as well as a generator using renewable sources. At the following stage, a mixed quadratic optimization problem is presented, with the solution consisting in a time plan to regulate the operation of the individual devices. Importantly, the paper also proposes a heuristic algorithm securing consistent functionality of the computational process even despite the varying input and user conditions given in the receding horizon.
Plný text v Digitální knihovně
BibTex
@article{BUT137925,
author="Václav {Kaczmarczyk} and Petr {Fiedler} and Zdeněk {Bradáč}",
title="A Heuristic Algorithm to Compute Multimodal Criterial Function Weights for Demand Management in Residential Areas",
annote="We present the conceptual design of a collective control scheme for appliances within a smart home. Based on the relevant energy acquisition procedures, three appliance groups are defined, modeled, and completed with an energy storage as well as a generator using renewable sources. At the following stage, a mixed quadratic optimization problem is presented, with the solution consisting in a time plan to regulate the operation of the individual devices. Importantly, the paper also proposes a heuristic algorithm securing consistent functionality of the computational process even despite the varying input and user conditions given in the receding horizon.",
address="MDPI",
chapter="137925",
doi="10.3390/en10071049",
howpublished="online",
institution="MDPI",
number="7",
volume="10",
year="2017",
month="july",
pages="1--28",
publisher="MDPI",
type="journal article in Web of Science"
}