An Intelligent Load Optimisation for Self-Powered Robotic Parking House in Inhabited Areas
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27730%2F23%3A10253723" target="_blank" >RIV/61989100:27730/23:10253723 - isvavai.cz</a>
Alternative codes found
RIV/61989100:27240/23:10253723
Result on the web
<a href="https://ieeexplore.ieee.org/document/10149287" target="_blank" >https://ieeexplore.ieee.org/document/10149287</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/EPE58302.2023.10149287" target="_blank" >10.1109/EPE58302.2023.10149287</a>
Alternative languages
Result language
angličtina
Original language name
An Intelligent Load Optimisation for Self-Powered Robotic Parking House in Inhabited Areas
Original language description
This article discusses the results of a comprehensive study of an automatic parking house a modern approach to utilizing off-grid technologies with advanced load optimization to a Self-Powered Robotic Parking House (S-PRPH). S-PRPHs represent large technical solutions for parking in densely populated areas. The automatic parking building includes Automated Guide Vehicle (AGV) systems developed by the team of authors. AGV pallets are part of the parking building energy consumption. This solution solves urban parking needs, including energetic self- sufficiency, balancing between price and an optimal number of parking spaces, and the maximum use of the building surface for green areas that provide oxygen production, filtration of dust particles, and appropriate water management. Intelligent Load Optimisation (ILO) is a part of S-PRPH management and is based on the Non-dominated sorting genetic algorithm II. The article describes the results of an ILO based on multi-objective optimization and methods of demand-side management in three variants. The results of this study are due to a fundamentally positive impact on load optimization in the off-grid system's size of building with weather conditions of Central Europe.
Czech name
—
Czech description
—
Classification
Type
D - Article in proceedings
CEP classification
—
OECD FORD branch
20200 - Electrical engineering, Electronic engineering, Information engineering
Result continuities
Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2023
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proccedings of the 2023 23rd International Scientific Conference on Electric Power Engineering (EPE)
ISBN
979-8-3503-3594-1
ISSN
2376-5623
e-ISSN
2376-5631
Number of pages
6
Pages from-to
1-6
Publisher name
IEEE
Place of publication
Piscataway
Event location
Brno
Event date
May 24, 2023
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
—