Quantized deep learning model based Volt-Var control for hosting capacity maximization: a practical case study
Approved
Classifications
MinEdu publication type
A1 Journal article (peer-reviewed)
Definition
Article
Target group
Scientific
Peer reviewed
Peer-reviewed
Article type
Journal article
Host publication type
Journal
Publication channel information
Title of journal/series
International journal of electrical power and energy systems
ISSN (print)
0142-0615
ISSN (electronic)
1879-3517
ISSN (linking)
0142-0615
Publisher
Elsevier
Publication forum ID
58403
Publication forum level
2
Publication appears in FT-list
No
SNIP-level of the publication
1.61
Country of publication
United Kingdom
Internationality
Yes
Detailed publication information
Publication year
2026
Reporting year
2026
Journal/series volume number
174
Article number
111524
DOI
10.1016/j.ijepes.2025.111524
Language of publication
English
Co-publication information
International co-publication
Yes
Co-publication with a company
No
Availability
Link to online publication
Link to self-archived version
Classification and additional information
MinEdu field of science classification
222 Other engineering and technologies
Keywords
Hosting capacity (HC); Modified Reptile search Algorithm (MRSA); Quantized 1D Convolutional Neural Network (QCNN); Decoupled Finite Control Set Model Predictive control (D-FCS-MPC); Post-Training Quantization (PTQ); EN 50549 standard
Funding information
Funding information in the publication
This work was carried out under projects titled Smart Grid 2.0 and Grid Code Certification by Simulation, with financial support provided by Business Finland under Grant #1386/31/2022 and Grant #2452/31/ 2024.
Funders
Funder
Business Finland
Name of funding
-
Funding decision
1386/31/2022
Funder
Business Finland
Name of funding
-
Funding decision
2452/31/2024
Research data information
Research data information in the publication
Data will be made available on request.
Source database ID
WoS ID
WOS:001663731100001
Scopus ID
2-s2.0-105027315171