Cost-based droop scheme for DC microgrid
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Year
: 2014DOI: 10.1109/IranianCIS.2014.6802532
Keyword(s): geophysical image processing,n image resolution,n mathematical analysis,n neural nets,n remote sensing,n Tehran,n Worldview-2 satellite image,n classical modelling,n final geometry correction,n genetic algorithms,n geometric rectification,n geometrical correction models,n georeferencing satellite images,n high resolution satellite images,n mathematical intelligent,n neural networks,n optimization artificial intelligent methods,n perceptron netwo
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Cost-based droop scheme for DC microgrid
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| contributor author | Nutkani, Inam Ullah | |
| contributor author | Peng, Wang | |
| contributor author | Loh, Poh Chiang | |
| contributor author | Blaabjerg, Frede | |
| date accessioned | 2020-03-12T21:40:55Z | |
| date available | 2020-03-12T21:40:55Z | |
| date issued | 2014 | |
| identifier other | 6953473.pdf | |
| identifier uri | https://libsearch.um.ac.ir:443/fum/handle/fum/1056804?locale-attribute=en | |
| format | general | |
| language | English | |
| publisher | IEEE | |
| title | Cost-based droop scheme for DC microgrid | |
| type | Conference Paper | |
| contenttype | Metadata Only | |
| identifier padid | 8187931 | |
| subject keywords | geophysical image processing | |
| subject keywords | n image resolution | |
| subject keywords | n mathematical analysis | |
| subject keywords | n neural nets | |
| subject keywords | n remote sensing | |
| subject keywords | n Tehran | |
| subject keywords | n Worldview-2 satellite image | |
| subject keywords | n classical modelling | |
| subject keywords | n final geometry correction | |
| subject keywords | n genetic algorithms | |
| subject keywords | n geometric rectification | |
| subject keywords | n geometrical correction models | |
| subject keywords | n georeferencing satellite images | |
| subject keywords | n high resolution satellite images | |
| subject keywords | n mathematical intelligent | |
| subject keywords | n neural networks | |
| subject keywords | n optimization artificial intelligent methods | |
| subject keywords | n perceptron netwo | |
| identifier doi | 10.1109/IranianCIS.2014.6802532 | |
| journal title | nergy Conversion Congress and Exposition (ECCE), 2014 IEEE | |
| filesize | 1005468 | |
| citations | 0 |