| 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 | |