Location via proxy:   [ UP ]  
[Report a bug]   [Manage cookies]                
loading
Papers Papers/2022 Papers Papers/2022

Research.Publish.Connect.

Paper

Paper Unlock

Authors: Hongliang Guo and Alfons Salden

Affiliation: Almende and B. V., Netherlands

Keyword(s): Energy Efficiency, Constrained Optimization, Model Predictive Control, Newton’s Method, Barrier Interior Method, Backtracking Line Search.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Artificial Intelligence and Decision Support Systems ; Computational Intelligence ; Energy Efficiency and Green Manufacturing ; Enterprise Information Systems ; Industrial Engineering ; Informatics in Control, Automation and Robotics ; Intelligent Control Systems and Optimization ; Optimization Algorithms ; Soft Computing

Abstract: .

CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 70.40.220.129

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
Guo, H. and Salden, A. (2013). Intelligent Control for Sustainable Energy Management in Underground Stations. In Proceedings of the 10th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO; ISBN 978-989-8565-71-6; ISSN 2184-2809, SciTePress, pages 566-571. DOI: 10.5220/0004590705660571

@conference{icinco13,
author={Hongliang Guo. and Alfons Salden.},
title={Intelligent Control for Sustainable Energy Management in Underground Stations},
booktitle={Proceedings of the 10th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO},
year={2013},
pages={566-571},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004590705660571},
isbn={978-989-8565-71-6},
issn={2184-2809},
}

TY - CONF

JO - Proceedings of the 10th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO
TI - Intelligent Control for Sustainable Energy Management in Underground Stations
SN - 978-989-8565-71-6
IS - 2184-2809
AU - Guo, H.
AU - Salden, A.
PY - 2013
SP - 566
EP - 571
DO - 10.5220/0004590705660571
PB - SciTePress