Detail publikace

Machine Learning-Based Node Characterization for Smart Grid Demand Response Flexibility Assessment

KRČ, R. KRATOCHVÍLOVÁ, M. PODROUŽEK, J. APELTAUER, T. STUPKA, V. PITNER, T.

Originální název

Machine Learning-Based Node Characterization for Smart Grid Demand Response Flexibility Assessment

Typ

článek v časopise ve Web of Science, Jimp

Jazyk

angličtina

Originální abstrakt

As energy distribution systems evolve from a traditional hierarchical load structure towards distributed smart grids, flexibility is increasingly investigated as both a key measure and core challenge of grid balancing. This paper contributes to the theoretical framework for quantifying network flexibility potential by introducing a machine learning based node characterization. In particular, artificial neural networks are considered for classification of historic demand data from several network substations. Performance of the resulting classifiers is evaluated with respect to clustering analysis and parameter space of the models considered, while the bootstrapping based statistical evaluation is reported in terms of mean confusion matrices. The resulting meta-models of individual nodes can be further utilized on a network level to mitigate the difficulties associated with identifying, implementing and actuating many small sources of energy flexibility, compared to the few large ones traditionally acknowledged.

Klíčová slova

smart grid; electricity network; flexibility assessment; renewable energy sources; machine learning; network simulation; artificial neural networks; convolutional neural networks

Autoři

KRČ, R.; KRATOCHVÍLOVÁ, M.; PODROUŽEK, J.; APELTAUER, T.; STUPKA, V.; PITNER, T.

Vydáno

9. 3. 2021

Nakladatel

MDPI

Místo

Basel, Switzerland

ISSN

2071-1050

Periodikum

Sustainability

Ročník

13

Číslo

5

Stát

Švýcarská konfederace

Strany od

1

Strany do

18

Strany počet

18

URL

https://www.mdpi.com/2071-1050/13/5/2954/pdf

Plný text v Digitální knihovně

http://hdl.handle.net/11012/200892

BibTex

@article{BUT170530,
  author="Rostislav {Krč} and Martina {Pálková} and Jan {Podroužek} and Tomáš {Apeltauer} and Václav {Stupka} and Tomáš {Pitner}",
  title="Machine Learning-Based Node Characterization for Smart Grid Demand Response Flexibility Assessment",
  journal="Sustainability",
  year="2021",
  volume="13",
  number="5",
  pages="1--18",
  doi="10.3390/su13052954",
  issn="2071-1050",
  url="https://www.mdpi.com/2071-1050/13/5/2954/pdf"
}