contributor author | Salvi, G. | |
date accessioned | 2020-03-12T19:48:27Z | |
date available | 2020-03-12T19:48:27Z | |
date issued | 2014 | |
identifier other | 6822096.pdf | |
identifier uri | https://libsearch.um.ac.ir:443/fum/handle/fum/990850?show=full | |
format | general | |
language | English | |
publisher | IEEE | |
title | An Automated Nighttime Vehicle Counting and Detection System for Traffic Surveillance | |
type | Conference Paper | |
contenttype | Metadata Only | |
identifier padid | 8107404 | |
subject keywords | convex programming | |
subject keywords | distribution networks | |
subject keywords | load flow control | |
subject keywords | optimisation | |
subject keywords | power generation scheduling | |
subject keywords | real-time systems | |
subject keywords | RHC ACOPF | |
subject keywords | convex conic programming | |
subject keywords | convex optimal power flow formulation | |
subject keywords | dynamic equation models | |
subject keywords | energy storage dynamics | |
subject keywords | energy storage system | |
subject keywords | global optimal scheduling | |
subject keywords | integrated receding horizon control | |
subject keywords | market interaction | |
subject keywords | real time control | |
subject keywords | real time optimal scheduling | |
subject keywords | receding horizon control method | |
subject keywords | second order conic programming | |
subject keywords | smart power distribution syst | |
identifier doi | 10.1109/IAS.2014.6978408 | |
journal title | omputational Science and Computational Intelligence (CSCI), 2014 International Conference on | |
filesize | 679027 | |
citations | 0 | |